AI Jobs in Abu Dhabi

About Brain Co.Brain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so farAutomated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in valueOptimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in lossesStreamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin workRaised a $30M Series A from top investorsBuilt a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and DatabricksAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.About The RoleAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.In This Role, You WillInnovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.You Might Thrive In This Role If YouHold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.Have at least a high level familiarity with the architecture and operation of large language models.Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.Possess a strong foundation in data structures, algorithms, and software engineering principles.Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.Can work collaboratively with cross-functional teams.Thrive in fast-paced environments where priorities or deadlines may compete.Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.BenefitsCompetitive salary plus equityDaily lunchesCommuter benefits401(k)Medical, Dental and VisionUnlimited PTOWhy Join UsShip quickly, iterate constantly and see your work deployed at global scaleCollaborate with industry veterans from Tesla, DeepMind, Databricks, and moreAccelerate your career with ownership based on impact, not tenureEarn competitive compensation + meaningful equity in a high-growth companyThrive in a culture built on speed, curiosity, and impactIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.This is a hybrid role that can be based in either our Abu Dhabi or Doha office

Job Title: AI Content Evaluation SpecialistJob Type: ContractorLocation: Remote (US/Canada/LATAM)Job SummaryJoin our customer's team as an AI Content Evaluation Specialist and play a vital role in ensuring AI-generated content aligns with community guidelines and safety standards. This expert-level position offers the opportunity to influence how advanced AI systems interpret and interact with online content while working remotely with a diverse team.Key ResponsibilitiesAssess and moderate AI-generated images and text for compliance with safety and content guidelines.Identify, flag, and report potentially harmful or inappropriate materials across various platforms.Collaborate with cross-functional teams to refine content evaluation procedures and ensure continuous improvement.Analyze emerging trends in social media and user-generated content to inform evaluation protocols.Document findings and provide clear, actionable feedback to development teams.Stay updated on the latest advancements in AI, content moderation, and digital safety practices.Contribute to the development and maintenance of internal best practices and knowledge bases.Required Skills And QualificationsProven experience in content moderation, digital safety evaluation, or a related field.Strong social media literacy with a keen awareness of community guidelines and platform-specific standards.Advanced skills in analyzing both visual and textual content for compliance and safety risks.Exceptional written and verbal English communication skills, with meticulous attention to detail.Ability to provide clear, concise, and constructive feedback.Comfort working independently and as part of a remote, collaborative team.Excellent critical thinking and problem-solving abilities.Preferred QualificationsExperience working with AI or machine learning-driven content moderation tools.Background in psychology, communications, or a related discipline.Demonstrated passion for digital safety and ethical content evaluation.

We are looking for a skilled AI & Data Engineer with strong experience in building data-driven systems and AI solutions, with a focus on Large Language Models (LLMs). You will be responsible for designing scalable AI systems and transforming data into intelligent products used in production environments.Responsibilities: Design and develop AI solutions using Machine Learning models and Large Language Models (LLMs). Build and maintain data pipelines for processing, transformation, and analysis. Collect, clean, and prepare large datasets for training and evaluation. Develop and optimize machine learning and deep learning models. Integrate LLMs into applications and systems (APIs, chatbots, AI services). Work with SQL and NoSQL databases. Improve model performance, scalability, and reliability. Implement and maintain MLOps and deployment workflows. Monitor data quality and model performance in production. Collaborate with engineering, product, and DevOps teams.Requirements Strong experience with Python. Solid understanding of Machine Learning and Deep Learning concepts. Hands-on experience with Large Language Models (LLMs) such as GPT, LLaMA, or similar. Experience building data pipelines and working with large datasets. Strong knowledge of SQL and NoSQL databases. Familiarity with MLOps and model deployment practices. Experience with frameworks such as TensorFlow or PyTorch. Strong analytical and problem-solving skills.Nice to Have: Experience with Retrieval-Augmented Generation (RAG). Experience with cloud platforms (AWS / Azure / GCP). Experience with Docker and Kubernetes. Experience building AI Agents or intelligent chatbots.

Embark on a journey where your unique contributions are celebrated, and your professional growth is embraced. At ADCB, we nurture a diverse, inclusive community where every voice is valued.About the business areaGBS is a group of highly skilled and talented professionals who form an essential part of ADCB's continued journey of success. With a proud history of commitment, innovation and delivery, GBS constantly strives for excellence whilst ensuring the highest standards of quality and risk awareness. Each and every member of the GBS family plays an integral role in driving ADCB's strategy, growth and digital evolution by working closely with our valued business partners to achieve exceptional customer experience through our outstanding service and support.We are actively seeking an ambitious professional to join our team at ADCB to work alongside passionate colleagues who share your ambition to redefine excellence in UAE banking.In this role, your key responsibilities include:Lead channel‑wide Quality Assurance programmes by designing, governing and continuously enhancing service audits, call monitoring reviews, process checks and mystery shopping assessments across the Branch Distribution Network and Contact Centre.Ensure full adherence to CBUAE Consumer Protection requirements, internal operational controls, and ADCB service standards by identifying non‑compliance trends, evaluating control gaps and validating consistency of frontline service execution.Analyze quantitative and qualitative QA results to identify recurring root‑cause issues, synthesize insights into actionable recommendations and formally present improvement priorities to senior leadership.Drive corrective actions with channel heads to uplift service reliability, reduce operational failure points, strengthen compliance alignment and enhance the overall customer experience across all service channels.Oversee Branch Academy Services and CCS Training by assessing frontline capabilities, identifying learning gaps, and directing the design and delivery of regulatory, product, onboarding, and behavioral training programmes, while strengthening frontline readiness and supporting strategic business objectives through close collaboration with Human Resources.Partner with Human Resources, Retail, Digital, Compliance, and Risk teams to ensure training content remains aligned with evolving regulatory requirements, operational changes, and customer experience expectations.Strengthen frontline capability by embedding customer‑centric behaviors, enhancing product knowledge, and reinforcing compliance adherence through structured learning journeys and continuous development pathways.Monitor training effectiveness through performance insights and feedback, implementing targeted enhancements to ensure ADCB’s frontline employees consistently meet service, operational, and regulatory standards while delivering high‑quality customer experiences across all channels.Lead channel‑wide performance governance by establishing, standardizing, and continuously refining KPI frameworks, operational scorecards, and productivity models that accurately reflect business priorities and service expectations.Govern Branch and CCS incentive schemes by ensuring fairness, transparency, data integrity, and alignment with financial, compliance, and customer experience objectives.Monitor customer experience indicators, including Net Promoter Score (NPS), Customer Satisfaction (C-SAT), and Customer Effort Score (CES), by conducting comprehensive trend analysis and converting the resulting insights into practical recommendations aimed at enhancing overall channel performance. Partner with leadership to address performance gaps, align workforce behaviors with strategic objectives, and reinforce a high‑performance culture.Strengthen operational discipline, uplift productivity, and ensure consistent delivery of outcomes that support both business targets and superior customer experiences.Direct a centralized MIS and analytics function by establishing robust reporting standards, ensuring strong data integrity, and producing forecasting, productivity, and performance insights.Develop predictive, behavioral, and performance analytics models, while driving automation, machine learning, and AI‑based CX evaluation to transition the function into an AI‑enabled analytics unit.Enable faster, more accurate decision‑making and strengthen channel performance visibility and operational foresight.Strengthen service excellence by analyzing QA insights, experience data, operational results, and training effectiveness to identify systemic service gaps and inefficiencies.Manage cross‑channel remediation efforts and process enhancements to reduce failure points, improve channel consistency, and uplift end‑to‑end customer journeys, resulting in improved operational reliability and stronger customer satisfaction across Branches and the Contact Centre Services.Provide strategic support to QA, Training, MIS, and Performance teams by setting priorities, reviewing progress, and ensuring high‑quality execution.Represent the function in governance committees, audits, and bank‑wide performance forums, reinforcing compliance alignment and strategic integration.Promote a culture of service excellence, accountability, continuous improvement, and data‑driven performance optimization across all distribution channels.Manage self and team in line with ADCB’s people management policies, procedures, processes and practices to ensure adherence and to maximize own and employee contribution to business performance Manage the effective achievement of the team’s objectives through setting individual objectives, managing performance, developing the team and providing formal and informal feedback to maximize overall performance, engagement and motivation. The ideal candidate should have the following experience: At least 8 years of UAE banking experience across service quality, training, performance management, analytics, MIS, incentive governance, or QA within a regulated environment Bachelor’s Degree in Business Administration or related disciplineCertifications in Service Quality, Operational Excellence, Customer Experience, Lean, Six Sigma or Analytics preferred Customer Service Operations and Post‑Sales Servicing ATM Channel Operations and Vendor Governance Workforce Planning and Capacity Modelling Retail Banking Products and Process Knowledge Regulatory Compliance and CBUAE Consumer Protection Standards Operational Risk Management and Control Frameworks Customer Experience Analytics and Service Quality Management Digital Enablement and Process Automation Data and MI Analysis for Decision‑Making Quality Assurance and Service Audit Methodologies KPI and Incentive Governance AI‑Enabled Analytics and CX Measurement Leadership, Coaching and Capability Development What we offer:Comprehensive Benefits Package: This includes market-leading medical insurance, group life and personal accident insurance, paid leave and leave airfare, employee preferential rates on loans and finance facilities, staff discounts and offers, and children education assistance (for certain job levels).Flexible and Remote Working Options: We understand the importance of work-life balance and offer flexible working arrangements, subject to eligibility and job requirements.Learning and Development Opportunities: We value and facilitate continuous learning and personal development, through a variety of exciting learning opportunities, such as structured instructor-led courses, a comprehensive e-Learning catalog, on-the-job training and professional development programs.At ADCB, we are dedicated to creating a respectful, caring and disciplined work environment that aligns with your career ambitions.

🚀Associate Director of Product 🏥 Healthcare Intelligent Solutions📍 Based in Abu Dhabi ( Relocation Provided!) 💰 AED 48,000 - 50,000 + Benefits Imagine sitting at the intersection of AI and healthcare - shaping products that reach real patients in the UAE. That's exactly what this role is.Reporting to the Director of Product, this AD of Product will collaborate with product managers, engineering, and analytics teams to deliver innovative data-driven solutions that care smarter, faster, and more human. You'll translate data into strategy, ambiguity into roadmaps, and ideas into measurable impact.Role ResponsibilitiesCo-own the AI product roadmap, from vision to launchChampion AI and ML, including NLP and computer vision, across product solutionsDefine the KPIs and ROI metrics that prove AI is actually workingStay ahead of emerging AI technologies and bring bold new ideas to the tableWhat do you needMaster’s degree or equivalent in Healthcare Management, Computer Science, AI, or related field.8+ years of product management experience with exposure to AI or data- driven solutions in healthcare.Experience working with clinical teams or understanding healthcare workflows.This is an opportunity to work on products that touch millions of lives across the UAE!If this aligns with your experience and interest, please apply. Only relevant candidates will be contacted.

We’re looking for a passionate AI - Curriculum Specialist to design and develop industry-relevant learning programs in AI, Machine Learning, and Data Science.Create engaging instructional materials including lesson plans, assessments, project-based learning modules, and digital contentCollaborate with subject matter experts, engineers, and trainers to ensure technical accuracy and relevanceIntegrate hands-on learning approaches using real-world datasets, tools, and case studiesContinuously update curriculum to reflect advancements in AI, machine learning, and data scienceEvaluate training effectiveness using feedback, analytics, and learner outcomesAlign content with certification frameworks and global best practicesSupport delivery teams with training materials, facilitator guides, and workshopsResearch latest EdTech tools and AI learning platforms to enhance deliveryRequirements:3–7 years in curriculum/instructional design or AI educationStrong knowledge of AI/ML, NLP, or GenAIExperience with tools like Python, TensorFlow (preferred)Familiarity with LMS and e-learning platformsJoin us to shape the future of AI learning!

The InstituteTechnology Innovation Institute (TII) a publicly funded research institute based in Abu Dhabi, the United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.AI and Digital Science Research Centre The Artificial Intelligence and Digital Science Research Centre (AIDRC) is the machine learning powerhouse of TII. We work closely with other research centers to harness the full potential of AI across multiple domains — from healthcare and cybersecurity to government and advanced technology systems. We incorporate core elements of intelligence (perception, sensing, planning, and language) in the ideation, design, and prototyping of next-generation systems with human-like intelligence. We build advanced AI computing and scalable AI-based software stacks and hardware systems to deliver significant enhancements in systems infrastructure. Our AI researchers, scientists, and engineers collaborate to ensure innovative outcomes, from AI theory to AI technologies towards better intelligence.Duties & Responsibilities:Design and build agentic AI systems (multi-agent workflows, tool use, planner and executor patterns) on top of Falcon and other foundation models, applied to enterprise and government use cases.Architect end-to-end RAG pipelines, covering ingestion, chunking, embedding, hybrid retrieval, reranking, and grounded generation across structured and unstructured data sources.Own model serving and inference optimization with vLLM (or equivalent frameworks), including batching, KV caching, quantization, and throughput tuning to meet latency and cost targets.Lead prompt engineering, model selection, and lightweight fine-tuning (PEFT, LoRA, SFT) where it measurably improves application quality.Build rigorous evaluation frameworks and online and offline benchmarks to measure quality, safety, latency, and cost of deployed AI systems, and act on the results.Investigate and mitigate AI failure modes such as hallucination, retrieval gaps, prompt injection, and unsafe outputs, and codify the fixes into reusable patterns.Partner with full-stack engineers, researchers, and product teams to translate business problems into well-scoped AI solutions, then ship them to production and iterate based on real usage.Contribute to internal AI frameworks, libraries, and engineering best practices that accelerate future deployments across the centre.Job Specification:Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related discipline.2 to 8 years of hands-on experience building and deploying AI or machine learning systems in production environments.Strong Python skills, with deep experience in modern AI and ML libraries such as PyTorch, Hugging Face Transformers, LangChain or LlamaIndex, and serving frameworks such as vLLM or TGI.Proven experience with agentic frameworks and design patterns (function calling, tool use, multi-agent orchestration) and with building production RAG systems.Hands-on experience with model serving and inference optimization, including batching, KV caching, and INT4/INT8 quantization for LLMs.Practical experience with prompt engineering, model evaluation, and lightweight fine-tuning (PEFT, LoRA, or SFT) of foundation models.Solid software engineering foundations, including Python API development, version control, testing, and code review.Working knowledge of containerization (Docker), CI/CD, and basic MLOps practices such as model and prompt versioning and observability.Familiarity with vector databases (e.g., Milvus, Qdrant, pgvector, Weaviate) and embedding-based retrieval at scale.Strong communication skills and the ability to engage directly with internal stakeholders and enterprise clients in English (Arabic is a plus).Additional Skills:Patents.Publications in top-ranking conferences and journals, such as ICML, NeurIPS, ICLR, KDD, VLDB, AAAI, and ACL, to cite a few.Experience deploying AI systems in regulated industries (government, financial services, defence) or in Arabic-language contexts.Contributions to open-source AI projects.

Transguard Workforce Solutions is the UAE’s leading provider of unique and innovative HR solutions. With a decade of experience in the region and a team that possesses extensive knowledge of the market, we provide a fully integrated HR solution.We are currently recruiting a AI Engineer for our Government client, based out of their office in Abu Dhabi, UAE.Job Purpose:We are seeking a highly skilled AI Engineer with expertise in Large Language Models (LLMs), Machine Learning, and Cloud Deployment. This role involves building and deploying AI solutions, integrating APIs, and optimizing performance for large-scale systems.Job Responsibilities:Develop and Fine-Tune AI Models: Build and optimize Large Language Models (LLMs) for tasks like handwriting recognition and image processing.Cloud & On-Prem Deployment: Deploy AI models on AWS Cloud (UAE Region) and local servers, ensuring scalability and security.API Integration: Connect AI models with internal and external systems using RESTful APIs for seamless functionality.Performance Optimization: Monitor, troubleshoot, and enhance model accuracy, speed, and reliability in production environments.Infrastructure Design: Architect high-speed network setups and AI communication frameworks to support large-scale AI applications.Data Management: Handle data preprocessing, cleaning, and augmentation for training models; manage local LLMs and databases.Collaboration & Innovation: Work closely with cross-functional teams to integrate AI solutions into existing platforms and research next-gen AI technologies.Job Requirements:Bachelor’s/Master’s in Computer Science, AI, or related field.Minimum 4 years of hands on experience with LLMs and AI frameworks.Proficiency in Python, TensorFlow, PyTorch, Node.js, and .NET.Strong knowledge of AWS Cloud deployment and API integration.Experience with LangChain, OpenAI, and open-source AI tools.Note: Add your Portfolio showcasing previous AI/LLM projects in your CV, this is mandatory

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Plays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

Job Description:Assist in the development, testing, and maintenance of data and AI solutions under the guidance of the Manager - Intelligent Automation and AnalyticsSupport the design and implementation of data pipelines, ETL processes, and basic data transformations to enable reliable data consumption for analytics and AI use casesCollaborate with senior developers and data engineers to integrate AI models and automation components into existing business applications and workflowsParticipate in code reviews, follow coding standards, and contribute to improving code quality, documentation, and maintainabilityPerform basic data exploration, validation, and quality checks to ensure accuracy, completeness, and consistency of data used for analytics and AI modelsDevelop and maintain simple scripts, utilities, and APIs to support intelligent automation, reporting, and data processing activitiesAssist in monitoring and troubleshooting data pipelines, AI models, and automation solutions, escalating complex issues to senior team members when requiredDocument technical specifications, solution designs, test cases, and deployment steps for data and AI components in a structured and reusable formatWork closely with business stakeholders and analytics teams to understand requirements, clarify data needs, and translate them into basic technical tasksSupport deployment, configuration, and version control of data and AI assets across development, test, and production environments following established processesContribute to proof-of-concept initiatives in data, AI, and intelligent automation by building prototype solutions and experimenting with new tools and techniquesAdhere to organizational security, compliance, and data governance guidelines while handling sensitive business data and developing AI-powered solutionsContinuously learn and upgrade skills in data engineering, AI, and automation technologies relevant to the Data Foundation department and business needsCollaborate with cross-functional teams within the Data Foundation department to ensure alignment of solutions with enterprise data architecture and standardsProvide basic operational support for existing data and AI solutions, including incident resolution, minor enhancements, and performance tuningParticipate in agile ceremonies, status updates, and project meetings, providing clear and timely updates on assigned tasks and deliverablesSupport the preparation of technical and user documentation, training materials, and handover notes to ensure smooth adoption of solutions by end users and support teamsContribute ideas for improving development processes, automation opportunities, and the effective use of data and AI within the locationRequirements:Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.Up to 3 years of experience in software development, data engineering, analytics, or AI related projects including internships or academic projectsBasic understanding of programming concepts and experience with at least one language such as Python, Java, or CFamiliarity with relational databases and basic SQL for querying and manipulating data, Exposure to data pipelines, ETL concepts, or data integration tools through coursework, projects, or prior roles, Interest in AI, machine learning, or intelligent automation and willingness to learn related frameworks and toolsAbility to read and understand technical specifications, design documents, and data modelsStrong analytical and problem solving skills with attention to detail and data accuracyGood communication skills to work effectively with technical and non technical stakeholdersAbility to work in a collaborative team environment within the Data Foundation departmentWillingness to follow established development standards, processes, and documentation practicesAbility to manage multiple tasks, prioritize work, and meet deadlines under supervisionOpenness to continuous learning and adapting to new tools, technologies, and methodologies in data and AIComfort working in an office environment at the location as per organizational requirementsEligibility to work in the specified location and comply with company policies and security guidelinesSkills:Proficiency in at least one programming language such as Python, Java, or C, Basic SQL querying and understanding of relational database concepts.Fundamental understanding of data structures, algorithms, and object oriented programming, Exposure to data processing or ETL tools and conceptsFamiliarity with version control systems such as Git, Basic knowledge of APIs and integration conceptsUnderstanding of core AI or machine learning concepts at a foundational level, Ability to perform data validation, cleansing, and simple exploratory analysis, Problem solving and analytical thinkingAbility to write clean, readable, and maintainable code with guidance, Documentation and technical writing skills for code, processes, and solutions.Collaboration and teamwork in a multi disciplinary data and analytics environmentTime management and task prioritization, Adaptability to new tools, frameworks, and technologies in data and AIEffective verbal and written communication skills

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.  Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. About The RoleAs an Applied AI Scientist in the FieldML team, you will be responsible for developing and customizing large language models and more broadly large-scale deep learning models to solve specific customer problems. You won't just advise; you will build. You will bridge the gap between state-of-the-art research and real-world applications by helping customers harness the power of the Cerebras Wafer-Scale Engine (WSE) for their AI initiatives.  We are looking for experienced AI Scientists who are passionate about the "applied" side of machine learning - those who enjoy not just reading papers, but implementing, training, and scaling models to solve complex business and scientific problems. You will work on a diverse range of projects, from training bespoke models from scratch to fine-tuning and optimizing the latest Large Language Models (LLMs) for specific industry verticals, to designing and building components for custom agentic systems. The ideal candidate has experience in large model training and/or post-training, a deep understanding of training dynamics and model convergence, and expertise in data curation, combined with strong communication skills.   Key Responsibilities Customer Use Case Discovery & Project Scoping Collaborate with customer stakeholders to identify the best approaches to their business problem with AI. Contribute to the technical scoping of engagements, including feasibility analysis, data quality/availability/readiness assessments, and the selection of optimal model architectures. Define project milestones, success metrics, and rigorous evaluation benchmarks to ensure the solution delivers measurable value to the customer’s business. Custom SOTA Models and AI Systems Development Architect and execute end-to-end training recipes for custom models, tailoring model architecture and training recipes to meet customer-specific performance and accuracy requirements. Design and implement sophisticated adaptation strategies, including continuous pre-training on private datasets, supervised fine-tuning (SFT), and post-training alignment via RLHF or DPO. Take full ownership of the training pipeline, from high-performance data preprocessing and tokenization to hyperparameter tuning and loss-curve analysis. Navigate the nuances of model convergence on specialized hardware, performing deep-dive analysis into loss dynamics and gradient stability. Scale training workloads across Cerebras clusters, ensuring efficient utilization of the hardware for multi-billion parameter models. Build and optimize the core components of agentic systems, focusing on tool-use capabilities, long-context reasoning, and multi-step planning. Technical Customer Leadership Serve as an AI/ML subject matter expert during technical deep-dives, translating customer requirements into precise training recipes. Build and maintain strong customer relationships to become their go-to AI/ML expert. Internal Research and Engineering Collaboration Act as the "voice of the customer" for internal R&D and engineering teams to drive improvements in our software stack and hardware utilization. Partner with internal ML teams and product teams on prioritization of novel model architectures with Cerebras software stack, development of training recipes and internal case studies. Distill customer-facing successful projects into internal playbooks, helping scale the FieldML team’s ability to deliver specialized models.Skills And Qualifications   Education: Master’s or PhD in Computer Science, Machine Learning, or related fields. Broad Deep Learning Expertise: Expert-level understanding of modern model architectures, including dense transformers, MoEs, multimodal and sequence models, scaling laws and training dynamics.  Hands-on Trainig Experience: Proven track record of training and/or fine-tuning large models (1B+ parameters) and direct experience with the challenges of large-scale model training.  Engineering Proficiency: Mastery of Python and PyTorch, experience with distributed training frameworks and large-scale distributed data processing pipelines and tools. Strong Interpersonal and Communication Skills: Effective in collaborative and fast-paced team settings, able to work autonomously and within a team in a dynamic environment, managing multiple projects and pivoting as customer needs evolve. Able to present complex technical results to diverse audience - from C-level executives to research scientists, and to work collaboratively to solve customers’ unique challenges.   Why Join CerebrasPeople who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection  point in our business. Members of our team tell us there are five main reasons they joined Cerebras:Build a breakthrough AI platform beyond the constraints of the GPU.Publish and open source their cutting-edge AI research.Work on one of the fastest AI supercomputers in the world.Enjoy job stability with startup vitality.Our simple, non-corporate work culture that respects individual beliefs.Read our blog: Five Reasons to Join Cerebras in 2026.Apply today and become part of the forefront of groundbreaking advancements in AI!Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.This website or its third-party tools process personal data. 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Job Title: Python Developer - AI ExpertJob Type: Part-time, ContractLocation: RemoteJob SummaryJoin our customer's team as an experienced Backend Developer. In this high-impact, remote role, you'll design, implement, and continually improve robust backend APIs while collaborating with cutting-edge AI research. You'll help test and shape the next generation of developer tools alongside a high-caliber engineering group.Key ResponsibilitiesDesign, develop, and optimize REST and GraphQL endpoints for scalable APIs.Drive data validation, error handling, and security best practices within backend services.Plan and execute database migrations, optimizations, and schema changes as needed.Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots.Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows.Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements.Submit detailed post-burst surveys, delivering insights on model performance and developer experience.Required Skills And Qualifications3+ years of professional experience as a backend developer, with strong expertise in Python.Proficient in building and maintaining RESTful and GraphQL APIs.Advanced understanding of backend data validation, error handling, and API security.Hands-on experience with database migrations, performance tuning, and schema design.Extensive use of AI tools for coding; familiarity with Cursor is highly desirable.Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting.Proven ability to thrive in fast-paced, confidential, and collaborative remote environments.Preferred QualificationsVisible contributions to open source (e.g., GitHub stars or contributions).Experience designing or evaluating experimental tooling and developer workflows.Demonstrated enthusiasm for AI advancements in software development.

About Us:This position is offered as a 12-month contract with the possibility of extension based on business needs and performance. Continuation beyond the initial term is not guaranteed.Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.Portfolio Strategy helps our Investment Committee to focus on the longer-term performance and sustainability of our portfolio.We actively monitor the overall performance of our investments, the strategy execution progress, and the impact of various global trends and macroeconomic developments.What you will do:Work with the Strategy team to strengthen our strategy systems and data flows, improve the monitoring of the portfolio with dashboards and embed AI and automation into day-to-day workflows. The two consultants will split focus across the areas below while collaborating closely.Key AccountabilitiesStrategy Systems & Transformation Assist in ensuring allocations are reported and flowing correctly Review, update, and expand pipeline and allocation dashboards; develop additional smart dashboards (e.g., Group view, strategy monitoring) for executives and investment teams Develop and support integration of new systems (e.g. DealCloud to Efront, Aladin and MSCI) and support enhancements of existing systemsAI Integration, Analytics and Automation Identify and prioritize AI/automation opportunities across strategy workflows and processes (e.g. portfolio construct, pipeline, allocation and portfolio monitoring and reporting) Optimize, automate, and document existing quantitative frameworks portfolio construction, and performance analytics to enhance consistency, efficiency, and scalability Build and deploy AI agents to support delivery of core research and investment strategy activities and generate greater insights Design, build, and maintain robust analytical models and code libraries (primarily in Python) to support investment research, portfolio management, and strategic analysis Build and maintain back testing and simulation frameworks to evaluate strategies, risk exposures, and investment scenarios under varying market conditions Collaborate with data vendors and internal stakeholders to source and structure alternative or proprietary datasetsMost importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.What will you bring: 5–10 years in business/portfolio analytics, AI adoption and system integration, supporting investment managers or asset management institutions, or top-tier consulting/technology roles Solid understanding of private markets and investment life cycle across public and private asset classes Demonstrated experience with systems (e.g. eFront, BlackRock Aladdin) and data providers in private/public markets (e.g. Preqin, Bloomberg, S&Ps etc…) Solid understanding of financial modeling concepts (valuation, IRR, performance attribution, risk models) and illiquid asset data structures Proficiency in Python (preferred) , including data manipulation, statistical modeling, and visualization libraries (e.g., pandas, NumPy, scikit-learn, Plotly, Dash) BI expertise (e.g. Power BI, Tableau) Experience building or maintaining quantitative tools, APIs, or system integrations across financial platforms Knowledge of databases (SQL) and ETL / data integration frameworks Proven ability to manage complex data projects, document processes, and communicate technical insights to non-technical stakeholdersPreferred Attributes Experience working in or with sovereign wealth funds, asset managers, or institutional investors Knowledge of portfolio theory, asset allocation and private equity Ability to work cross-functionally with strategy, investment, and technology teams. Passion for innovation and continuous improvement in investment processes. Familiarity with AI/ML applications in finance, such as natural language processing, model optimization, or predictive analytics Knowledge of cloud-based data infrastructures (e.g., Azure, AWS) and data governance principles Experience with private market data modeling and system interoperability across multiple investment platforms Strong analytical thinking, attention to detail, and collaboration skills in cross-functional environmentsWhat we offer:A superior platform to grow your career including. A role that has social and financial impact Great working environment with talented colleagues Excellent work culture enabled by our values of Accountability, Inspiration, Integrity & PartnershipMubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.Key Indicators:Location: Abu DhabiFlexible Working: Remote working up to 5 days a month.

About Us:Mubadala Investment Corporation (MIC) is a global investor, owned by the Government of Abu Dhabi, with USD 300+ BN assets under management, five global offices and business investments in 50+ countries. We innovate and invest across the world to create lasting value for our shareholders, our partners, and future generations.MIC has recognized that the next frontier in competitive advantage will be driven by the adoption of AI and Machine Learning technologies. In response, a new AI Enablement Unit has been formed to lead the effort to define and implement an AI strategy and embed AI into the fabric of the MIC organization.The newly established AI Lab sits within the AI Enablement Unit. It is tasked with developing new and innovative AI and ML-enabled tools and solutions specifically tailored to Mubadala use cases. These solutions are designed to solve critical business problems. The team’s focus is on research and POC development, and its work leverages cutting-edge techniques in generative AI, quantitative analysis, big data processing, optimization, and image and document processing. The team is supported by large engineering teams focused on productization and deployment-at-scale.What you will do:Support the newly established AI Lab in the following areas:Work across our business and investment teams, including supporting functions, to evaluate and implement new AI / ML use cases Bring deep and generalist data science / AI / ML expertise to solve real world business problems using appropriate data-led methods in a scalable wayProvide support to investment and corporate platforms by bringing advanced analytics approaches to the investment life cycle and other supporting functionsAssist in idea generation and validation of new AI initiatives across the MIC business and corporate functions and to support the formalization of a prioritized delivery roadmapAdhere to a strong discipline of model documentation and library development to enable scalability and transferability of advanced analytics projects to other business use casesManage and mentor other MIC staff, and take primary responsibility for timely delivery of complex projects supported by both internal staff and contractorsWhat will you bring:To succeed within this role, you will bring a strong mix of practical experience, technical skills, and business skills, including the following:A technical degree in computer science, statistics, mathematics, financial engineering, or related field, advanced postgraduate degree (MSc or PhD) is advantageous10+ years of experience applying data science and AI / ML methods to deliver commercial impact, preferably within the areas of finance, investments or asset management Expertise in statistical and classical ML techniques (including, for example, tree-based methods, regression, deep learning, forecasting techniques, optimization methods, Bayesian methods, model evaluation metrics)Expertise in the latest techniques in generative AI, (including, for example, agentic workflows, RAG systems, LLM fine tuning, vector databases, optimization and deployment)Advanced coding skills, principally in Python and SQL, with more diverse coding experience (e.g. Java, C++, JavaScript, others) considered an advantage, as well as experience with coding assistantsUnderstanding of production grade engineering in AI, including familiarity with common cloud platforms (AWS, Azure), collaboration tools, and principals underpinning the design of complex, modular, scalable AI / ML servicesYou will be a team player with high standards of business ethics and a drive to deliver, innovate and improve, whilst building strong partnerships within and outside MubadalaYou will be an excellent communicator able to build relationships, communicate and influence both within the AI Enablement Unit, and the wider organizationYou will be able to orchestrate, manage and deliver projects by managing and overseeing multiple technical contributors, with an eye on deadlines and a practical results-driven mindsetMost importantly you will have passion for contributing to Mubadala’s mission and growing a leading global investment company.What we offer:A superior platform to grow your career including:Making a difference with a social and financial impactGreat working environment with talented colleaguesMarket leading pay and benefits including performance payHybrid working and wellness benefits to help you live your best work and private lifeOpportunity to grow and develop through learning and experienceExcellent work culture enabled by our values of Accountability, Inspiration, Integrity & Partnership.Mubadala has an excellent working culture, enabled by our values of Accountability, Inspiration, Integrity & Partnership. You will operate in a diverse, energetic, and forward-thinking environment with hybrid working and wellness benefits to help you grow and develop, and market leading pay and benefits.Key Indicators:Location: Abu DhabiFlexible Working: Remote working up to 5 days a month (Post probation)

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

WE ARETransforming the way thousands of global organizations do business by developing the most innovative technologies and processes in Big Data, the Internet of Things (IoT), Data Science, and Experience Design. We are one of the largest teams in Eastern Europe that stood at the origins of data science, providing tons of experience and working with the best talents in the field.In the Data Science Center of Excellence, we contribute to a wide range of projects in different areas, domains, and technologies. The GenAI Strategy at SoftServe aims to spearhead the development and implementation of intelligent software systems that integrate GenAI, AI, Data Analytics, MLOps, and Cloud infrastructure.IF YOU AREA holder of a Ph.D. or master's degree in computer science or a related fieldExperienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond)Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generationCompetent in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AIAdept at applying advanced deep learning techniques in practical scenariosWell-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical applicationsProficient in working with the latest pre-trained language models like GPT-4, BERT, and their subsequent iterations, including fine-tuning for specific tasksAware of the software development lifecycle of AI projects, machine learning operationalization processesExperienced with AI solutions deployment to the main cloud providersHands-on with Python and TensorFlow or PyTorchHands-on with Azure AI Foundry, Azure OpenAI, Azure AI Services, and cloud-native AI solution developmentExperienced with agent frameworks such as Microsoft Agent Framework, OpenClaw, Databricks agentic capabilities, LangChain, LangGraph, or similar technologiesKnowledgeable in building scalable multi-agent workflows, including agent routing, orchestration, tool usage, memory management, context persistence, and handoff protocolsStrong in LLM system design and instruction architecture, including system message design, few-shot structuring, reasoning patterns, behavioral guardrails, and safe tool-use policiesPossessing strong interpersonal, analytical, and problem-solving skillsEasily translating complex concepts in clear, concise, and meaningful ways, that a non-technical audience can easily understandCapable of maintaining business communication in English at the upper-intermediate levelAND YOU WANT TOWork with the full stack of data analysis, deep learning, and machine learning model pipeline that includes deep analysis of customer data, modeling, and deployment in productionChoose relevant computational tools for study, experiment, or trial research objectivesDrive the development of innovative solutions for language generation, text synthesis, and creative content generation using the latest state-of-the-art techniquesDevelop and implement advanced Generative AI solutions such as intelligent assistants, Retrieval-Augmented Generation (RAG) systems, and other innovative applicationsProduce clear, concise, well-organized, and error-free computer programs with the appropriate technological stackPresent results directly to stakeholders and gather business requirementsDevelop expertise in state-of-the-art Generative AI techniques and methodologiesGrow your skill set within a dynamic and supportive environmentWork with Big Data solutions and advanced data tools in cloud platformsBuild and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insightsLead teams of data scientists and software engineers to successful project executionTOGETHER WE WILLMaintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environmentsDrive innovation in the realm of Generative AI and Language Models, contributing to groundbreaking projects that redefine AI-powered content generationCommunicate with the world-leading companies from our logos portfolioEnjoy the opportunity to work with the latest modern tools and technologies on various projectsParticipate in international events and get certifications in cutting-edge technologiesHave access to powerful educational and mentorship programsRevolutionize the software industry and drive innovation in adaptive self-learning technologies by leveraging multidisciplinary expertiseSoftServe is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment regardless of race, color, religion, age, sex, nationality, disability, sexual orientation, gender identity and expression, veteran status, and other protected characteristics under applicable law.

About The Job You Are ConsideringCapgemini Global Insights & Data business line is a market leader in the data, platform, and analytics across all regions and cross many sectors (including financial services, consumer products, manufacturing & life sciences). Our offerings include end-2-end data integration to cloud platform, complete suite of AI engineering capabilities and a category of sector-based advanced analytics / AI solutions.The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.Your RoleAs an AI Developer, you will play a pivotal role in shaping and executing AI strategies, building innovative solutions, and leading teams to deliver business valueAI Solution DevelopmentDesign, build, and deploy scalable AI/ML models to solve real-world business challenges.Collaborate with cross-functional teams to translate business requirements into effective AI solutions.Implement best practices for model development, testing, deployment, and monitoring.Contribute to the end-to-end AI lifecycle: data collection, exploration, model training, evaluation, and optimization.Technical ExcellenceWork with leading AI frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.Utilize cloud platforms (Azure, AWS, GCP) for scalable AI deployments.Develop and maintain data pipelines using SQL/NoSQL databases and data engineering tools.Apply MLOps tools (e.g., Kubeflow, MLflow, Azure ML) for model governance, versioning, and CI/CD.Responsible AI & ComplianceEnsure AI solutions adhere to fairness, transparency, and security standards.Follow guidelines for ethical and responsible AI usage in all projects.Communication & CollaborationEffectively communicate complex technical concepts to both technical and non-technical stakeholders.Work closely with engineering, cloud, and product teams to integrate AI capabilities into products and platforms.Your Skills And ExperienceTechnical SkillsProficiency in Python, R, or similar programming languages.Strong understanding of machine learning, deep learning, NLP, LLMs, and generative AI.Experience with cloud-based AI deployments and data engineering pipelines.Familiarity with MLOps tools and best practices.Professional AttributesAnalytical and problem-solving mindset.Excellent communication and stakeholder management skills.Ability to work effectively in fast-paced, agile environments.Strategic thinking with a product-oriented approach.Preferred QualificationsMaster’s or PhD in Computer Science, Artificial Intelligence, Data Science, or related fields.Experience with LLM fine-tuning, RAG pipelines, and prompt engineering.Contributions to AI/ML publications, patents, or conferences.Exposure to industry-specific AI use cases (e.g., BFSI, healthcare, manufacturing).Why you should consider CapgeminiGrowing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.About CapgeminiCapgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of over 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2025 global revenues of €22.5 billion. Make it real | www.capgemini.com

Role - AI EngineerDuration of contract- 12 monthsWork location : Abu Dhabi, UAENote : Please only if you have relevant experience and based in UAEJob Description:Build and maintain end-to-end ML pipelines using MLOps best practices.Handle model deployment, monitoring, versioning, and rollback in production environments.Develop scalable and GPU-optimized AI/ML workflows for training and inference.Fine-tune pre-trained models (LLMs, NLP, CV) for domain-specific applications.Implement data preprocessing, feature engineering, and model evaluation.Ensure reproducibility, governance, and compliance of AI solutions.Contribute to AI strategy, ethical AI practices, and documentation.

About SteerAISteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI’s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transform operations and protect organizations' most important assets: their workforce.About the roleWe are seeking a Senior Robotics Engineer specializing in Robotic Localization to participate in the development of cutting-edge localization systems for autonomous robotic platforms. The ideal candidate will have extensive experience in SLAM using both lidar and camera sensors, and a deep understanding of sensor fusion techniques. Proficiency in implementing and tuning filters such as Extended Kalman Filter (EKF), Unscented Kalman Filter (UKF), and Particle Filter is essential.Key ResponsibilitiesDevelop and implement robust SLAM algorithms using lidar and camera sensors for accurate robotic localization.Design and optimize sensor fusion strategies to integrate data from multiple sensors for enhanced localization accuracy.Apply and tune various filtering techniques, including EKF, UKF, and Particle Filter, to improve system performance.Collaborate with cross-functional teams to integrate localization systems with other robotic subsystems, ensuring overall system coherence and reliability.Conduct research and stay updated with advancements in robotic localization, SLAM, and sensor fusion technologies.Qualifications Extensive experience in SLAM, both lidar-based and camera-based.Expertise in sensor fusion techniques and multi-sensor integration.Proficient in filtering techniques like EKF, UKF, and Particle Filter.Strong background in robotics, computer vision, and machine learning.Familiarity with ROS (Robot Operating System) and its application in localization tasks.Proficient in programming languages such as Python and C++.Excellent analytical and problem-solving skills.Strong teamwork and communication abilities, with a knack for cross-functional collaboration.Experience with 3D mapping and computer vision algorithms is a plus.Familiarity with hardware components relevant to robotic localization (e.g., IMUs, GPS).Masters or PhD in Robotics, Computer Science or a related field.What we offerWe offer a competitive salary, a comprehensive benefits package, and the opportunity to work alongside some of the brightest minds in the Autonomous Robotics industry. Our work culture is collaborative and inclusive, with a strong focus on innovation and personal growth.If you're passionate about advancing the frontiers of Autonomous Robotics and eager to leave a lasting mark in this domain, seize the opportunity and apply today to join us in sculpting the future of this dynamic field!

في إطار توجه الوزارة نحو تعزيز قدراتها الرقمية وتسريع تبني حلول الذكاء الاصطناعي في بيئة العمل الحكومي، تعلن الوزارة عن توفر شاغر وظيفي بمسمى مهندس الذكاء الاصطناعي ضمن العائلة الوظيفية (التكنولوجيا الرقمية والبيانات والمعلومات – الذكاء الاصطناعي).ويأتي هذا الدور لدعم تطوير وبناء وتشغيل وصيانة أنظمة الذكاء الاصطناعي، والمساهمة في رفع كفاءة الحلول التقنية، وتعزيز موثوقية الأنظمة الذكية المستخدمة داخل الجهة.المهام والمسؤولياتتطوير وبناء أنظمة الذكاء الاصطناعي وتحسين أدائها وكفاءتهادعم تنفيذ أنظمة الكشف الآلي عن الأعطال وتحليل البيانات التشغيليةتطوير نماذج تعلم آلي لمعالجة البيانات غير المنظمة واستخلاص النتائجالمساهمة في مشاريع الحوسبة الذكية والتطبيقات التحليليةتطوير أدوات معالجة اللغة الطبيعية والتنقيب في النصوصدعم تكامل الأنظمة الذكية مع الأنظمة الحكومية الحاليةتحسين جودة البيانات وإزالة التكرار ومعالجة الأخطاء التقنيةتعزيز التعاون بين الإنسان والآلة من خلال حلول ذكية مبتكرةتنفيذ المهام الفنية المرتبطة بتطوير وصيانة الأنظمة الذكيةاختبار وتقييم نماذج الذكاء الاصطناعي قبل نشرها في بيئة الإنتاجدعم فرق التحول الرقمي في بناء حلول تعتمد على البيانات الضخمةالمشاركة في تحسين البنية التحتية للذكاء الاصطناعي داخل الجهةمتابعة أحدث تقنيات الذكاء الاصطناعي وتطبيقاتها العمليةدعم مبادرات الابتكار التقني داخل الوزارةالمؤهلات والخبرة المطلوبة:بكالوريوس في هندسة الحاسوب أو ما يعادلهاحديث تخرج أو خبرة عملية مناسبة في مجال الذكاء الاصطناعي أو هندسة البرمجياتالشهادات المهنية (ميزة إضافية)شهادات في الذكاء الاصطناعي والتعلم الآليشهادات في الأمن السيبراني وخصوصية البياناتشهادات في الحوسبة السحابية (Azure / Oracle Cloud)شهادات في قواعد البيانات (SQL / Oracle / Data Engineering)شهادات في تطوير البرمجيات (Python / Java / IoT)شهادات في إدارة الأنظمة وعمليات أمن المعلومات (ISO 27001 / 27002)

As an AI Researcher at Vatic Labs in Abu Dhabi, you will research and develop innovative AI-driven quantitative trading strategies. You will explore vast amounts of market and alternative data, inventing and applying a new generation of state-of-the-art technologies that are inspired by large language models, deep neural networks, transformers, and advanced prompt engineering methods to discover and capitalize on trading opportunities.The nature of the problems we work on is challenging, hence we hire some of the world's top AI talent to develop novel AI methods and trading strategies. Our team of talented researchers and technologists has been recognized as leaders in their field. Our distinguished researchers have been widely cited for their publications in top-tier, peer-reviewed scientific journals. We are passionate about hiring the best and the brightest, empowering them with the tools and mentorship needed to be successful. Our environment is highly collaborative and open, sharing AI and trading expertise across team members and fostering innovation and growth.If you possess all or most of the following, we would love to explore what is available for you with our team:Earned or will earn a Master's or Ph.D. in a quantitative field, such as Computer Science, Electrical and Computer Engineering, Applied Math, Statistics, Quantitative Finance, Cognitive Science, Physics or another field of science.Experience analyzing large data sets with rigorous statistical and ML/AI approaches, including classification, clustering, regression (linear and nonlinear), optimization, signal processing, filtering and smoothing, time-series analysis, hidden Markov models, high-dimensional data analysis, vector quantization, decision tree methods, EM methods, Bayesian methods, variational inference methods, and neural networks.Demonstration of deep knowledge of large language models and deep neural networks for practical applications (e.g. NLP, vision, speech, signal processing, scientific computing, finance, etc). Finance applications preferred but not necessary.Ability to generate impactful research in academic or professional pursuits.Advanced understanding and experience of practical programming languages and software tools for data analysis and ML/AI applications, such as Python, C++, PyTorch, Tensorflow, etc.Interest and enthusiasm for learning about financial markets (previous experience not required).At Vatic, we're serious about our work—but we also believe in balance, growth, and having fun along the way. Here's what you can expect:Flat structure with direct executive exposure – Work closely with leadership and make an impact from day one.Comprehensive health benefits – Full health insurance coverage for employees and dependents.Daily meals provided – Enjoy free lunch at the office.

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.aiOverviewInception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.The opportunityJoin a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.Inception is the UAE’s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.ResponsibilitiesIn the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.Propose scenarios where AI techniques could improve the efficiency of the customer’s business.Provide pre-sales and post-sales technical support to the business development team.QualificationsSkills and attributes for successThe criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.To qualify, you must haveM.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.Minimum 6 years of experience in developing AI algorithms for various modalitiesTrack record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.Ideally, you’ll also needA highly curious and inquisitive approach to problem-solvingIn-depth knowledge of the latest developments in AI and machine learningExcellent communication skills What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.What Working At Inception OffersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Work-Life: A hybrid work policy to strike the perfect balance between office and home.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.What We Look ForIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.What Working At Inception OffersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

Principal Engineering Manager Based on site in Abu DhabiCompetitive Tax-Free Salary + benefitsDiscover the opportunityWe are hiring a visionary Principal Manager of Engineering to lead cutting edge squads for an industry leader in artificial intelligence. Our client bridges the gap between advanced research and real world impact by building secure enterprise applications for knowledge workers. As a foundational member of the team you will work in a world class environment with access to the latest tools and technologies.Discover the roleIn this position you will lead and mentor a highly skilled team of front end back end and machine learning engineers. You will drive the development of solutions leveraging next generation AI and LLM technologies while collaborating directly with customers to deploy these systems onto their tech stacks. This role requires a deep understanding of machine learning along with the ability to manage project timelines and budgets effectively.Discover the responsibilitiesLead a multidisciplinary team of engineers to deliver complex AI projectsDefine and implement best practices for AI model development and deploymentContribute to the overarching AI strategy and roadmap for the companyLead technical discussions with customers and translate complex concepts to non technical stakeholdersStay abreast of the latest research and industry trends to foster a culture of innovationEnsure ethical AI development while solving challenges in critical sectorsDiscover the requirementsMS or PhD in Computer Science Machine Learning or a related field5 or more years of experience in AI or ML engineering 2 or more years of experience in a leadership roleDeep expertise in natural language processing and deep learningHands on experience with Transformer based models and LLM architecturesStrong Python programming skills and familiarity with frameworks like PyTorch or TensorFlow Experience with large scale distributed computing and ML infrastructureA track record of publications or patents in the field is a plus

About the CompanyLiquidity is the world's leading AI-powered private credit firm, pioneering a new standard in growth capital through a nexus of expertise in private credit and technology. With a global reach and regional depth across North America, Europe, APAC and MENA, Liquidity supports high-growth companies by deploying capital with speed, precision, and adaptability. Powered by proprietary decision science technology, Liquidity enables faster, more accurate investment decisions at scale.About the RoleLiquidity is seeking a highly technical and hands-on AI Product Manager to lead the design and delivery of AI-powered products across the full lifecycle — from data ingestion and modeling to user-facing applications. In this role, you will focus on building production-grade AI systems that power investment workflows, financial analysis, and decision-making. You will translate complex business problems in credit risk, deal structuring, and financial modeling into scalable AI-driven solutions, working at the intersection of Product, Data Science, and Engineering. You will collaborate closely with cross-functional teams to design and deploy AI-native experiences, including agent-based systems, decision support tools, and financial data platforms, ensuring high standards of accuracy, reliability, and usability.ResponsibilitiesDefine and deliver AI-native product experiences, including chat interfaces, agent-based workflows, automation, and decision support tools.Translate complex financial and investment problems into scalable AI systems and product solutions.Drive end-to-end product development across data pipelines, model layers, and application layers.Design and implement multi-agent or prompt-based systems across key workflows such as origination, diligence, and monitoring.Build and maintain structured representations of financial data and products.Own the quality of AI outputs, ensuring accuracy, explainability, and reliability in production environments.Collaborate closely with Data Science, Engineering, and business stakeholders to align on product goals and execution.Debug and resolve issues across the stack, including data, model performance, and user experience.Lead the development of AI assistants, financial data mapping systems, risk scoring engines, and simulation tools.Balance speed and precision in delivering high-impact solutions within a financial context. Qualifications5–10 years of experience in Product Management with strong technical depth.Strong understanding of LLMs, including prompting, RAG, evaluation, and hallucination mitigation.Solid knowledge of data pipelines (ETL, APIs) and structured vs. unstructured data systems.Familiarity with machine learning fundamentals, model behavior, and evaluation metrics.Experience working with financial, analytical, or data-intensive systems is strongly preferred.Proficiency in SQL or data querying and experience with API-based integrations.Ability to design high-level system architecture across data, models, and product layers.Strong problem-solving skills with the ability to debug across data, model, and UX layers.Experience working closely with Data Science and Engineering teams in production environments.Background in fintech, analytics platforms, or AI-driven products is a strong plus.

Job Title: Senior Data Scientist – Contract – Abu DhabiLocation: Abu Dhabi, UAE (Onsite)Role Type: Contract (6 months, with potential to extend)We’re hiring a Senior Data Scientist for a 6 month contract role, starting immediately, in Abu Dhabi.We’re looking for someone with strong experience in LLMs, agentic workflows, and applied machine learning. This is an exciting opportunity to help design and deploy next-generation AI solutions that power intelligent agents, natural language interfaces, and knowledge-driven applications.What you’ll be doing:· Building and optimising LLM-based solutions for summarisation, semantic search, dialogue systems, and reasoning.· Developing agentic workflows using LLMs, tools, APIs, and data pipelines.· Fine-tuning and aligning models using prompt engineering, RAG, RLHF, and knowledge grounding.· Working on multi-modal AI pipelines combining LLMs, computer vision, knowledge graphs, and structured data.· Collaborating with engineers, data teams, and product stakeholders to bring AI models into production.What we’re looking for:· 5+ years’ experience in AI, ML, or intelligent agent development.· Strong Python skills and hands-on experience with TensorFlow, PyTorch, and Hugging Face.· Experience with LangChain, LlamaIndex, Haystack, or similar orchestration frameworks.· Knowledge of RAG pipelines, vector databases, and modern AI system design.· Excellent communication, problem-solving, and collaboration skills.Recruitment processThe role has recently opened so please apply. When your application is reviewed, you will be contacted if your profile meets the requirements. The customer will conduct online interviews. Your ConsultantMichael Deane, Senior Recruitment Consultant with a focus on placing C-Suite, VP & Senior talent, along with Technical and Business Development professionals within Enterprise Technology across the Middle East region. Michael has an extensive technical, leadership and recruitment background.If you’re available to start immediately and interested in a 6 month contract role in Abu Dhabi, please apply.

Role SummaryStellar Technologies is seeking a Machine Learning Engineer (GenAI) to design, build, and deploy next-generation AI systems combining Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI frameworks.In this role, you will bridge model development and production engineering — developing scalable AI pipelines, integrating real-time APIs, and ensuring high-performance AI services that power enterprise-grade solutions. You will work at the intersection of machine learning, cloud infrastructure, and applied research, collaborating with top engineers and data scientists to deliver intelligent, production-ready AI capabilities.Key ResponsibilitiesDevelop and optimize AI systems leveraging LLMs, RAG, and agentic AI frameworks (LangChain, LangGraph).Build and deploy production-grade ML pipelines with real-time inference and retrieval components.Design and manage APIs and streaming services to integrate AI models into enterprise platforms.Implement containerized, orchestrated deployments using Docker, Kubernetes, and Azure ML.Automate data preprocessing, model training, evaluation, and versioning pipelines.Collaborate with cross-functional teams to integrate models into front-end, analytics, and automation workflows.Ensure governance, compliance, and security of deployed AI workloads.Conduct performance benchmarking and optimize inference latency and cost.Monitor AI systems in production using observability frameworks (logging, metrics, tracing).Participate in architecture discussions to enhance scalability and reliability of AI services.Required Skills & ExperienceStrong hands-on experience with LLMs, RAG, and agentic frameworks (LangChain, LangGraph, Semantic Kernel, etc.).Proficiency in Python, with deep understanding of ML libraries like PyTorch, TensorFlow, scikit-learn, Hugging Face Transformers.Solid experience in API and microservices engineering (FastAPI, Flask).Familiarity with streaming architectures and real-time data handling.Knowledge of cloud platforms (Azure preferred), including Azure AI, Cognitive Services, and ML Ops.Experience with containerization and orchestration (Docker, Kubernetes).Understanding of vector databases (Pinecone, Weaviate, FAISS) and retrieval mechanisms.Experience in CI/CD, model deployment, and production monitoring.Preferred SkillsExposure to GPU-based inference optimization and serverless deployment.Knowledge of observability and monitoring tools for AI (Prometheus, Grafana, Azure Monitor).Experience in model fine-tuning, prompt engineering, or agentic orchestration.Understanding of AI governance, ethical AI, and data privacy frameworks.Soft SkillsStrong analytical and problem-solving mindset.Excellent collaboration and communication skills.Passion for innovation, experimentation, and applied AI.Job Category: Software EngineerJob Type: Full TimeJob Location: Abu Dhabi

Job Purpose: Saal.ai is seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team. The ideal candidate will have a strong background in machine learning (ML), deep learning (DL), Generative AI models including Large Language Models (LLMs), natural language processing (NLP), speech analysis and recognition, as well as agentic frameworks and relevant tools. This role requires leading junior to mid-level ML engineers and developers, driving the development of robust AI models, and ensuring their deployment in production environments. The candidate must also possess strong full-stack and software development skills.Key Responsibilities: Team Leadership: Mentor and guide junior to mid-level ML engineers and developers, fostering a collaborative and innovative environment.Model Development: Build, train, and optimize robust AI models using state-of-the-art techniques in NLP, speech analysis, and recognition.AI Service Packaging: Package AI models as services, ensuring they are ready for deployment in production environments.Deployment: Deploy AI services using microservices architecture and Docker containers for scalable and reliable operation.Automated Pipelines: Design and implement automated machine learning pipelines for model training, testing, and inference.Scalable Deployments: Develop and manage scalable deployments and distributed training processes to handle large-scale data and models.Performance Monitoring: Continuously monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency.Full-Stack Development: Utilize strong full-stack development skills to contribute to the software development lifecycle, including front-end and back-end development.Software Engineering: Apply software engineering best practices in the development, testing, and maintenance of AI systems.Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software engineers, to deliver high-quality AI solutions.Technical SkillsDeep understanding of ML, DL, Generative AI models, NLP, and speech analysis and recognition.Proficiency in Python and Java programming, with strong coding skills and experience in developing large-scale AI systems.Experience with microservices architecture and Docker containers for developing and deploying scalable AI services.Expertise in designing and implementing automated ML pipelines for efficient model training, testing, and inference.Knowledge of scalable deployments and distributed training techniques, leveraging cloud platforms and distributed computing resources.Strong full-stack development skills, including proficiency in front-end and back-end technologies.Familiarity with Ubuntu server commands and basic DevOps skills, ensuring robust and reliable AI infrastructure.Experience working with NLP AI models processing Arabic language models.LLM and Agentic SkillsIn-depth understanding of Large Language Models (LLMs) and their architectures, including transformer-based models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers).Experience in fine-tuning and training large language models on specific tasks or domains, such as text generation, language translation, or sentiment analysis.Proficiency in working with pre-trained LLMs and adapting them to custom applications, including handling tasks like tokenization, attention mechanisms, and context understanding.Knowledge of techniques for optimizing LLMs for performance, including parameter tuning, regularization, and model compression.Experience5+ Years Experience required in AI/ML Proven experience in machine learning engineering with a focus on building and deploying AI models.Extensive hands-on experience with ML frameworks and tools (TensorFlow, PyTorch, etc.).Hands-on experience with transformers AI models, language models, and fine-tuning/training large language models (LLMs).Preferred Educational Qualifications and Professional CertificationsMaster's degree in Artificial Intelligence, Computer Science, or a relevant field. Language Proficiency: Proficiency in Arabic language is a plus.UAE Nationals are encouraged to apply

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modelling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy.At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.The Executive Manager - Squad Cyber Technical Lead is a high-level strategic and technical leadership position within Deeplight consultancy, embedded directly within a major banking client. The role is responsible for defining the technical cyber strategy for a dedicated engineering delivery squad and steering the execution of complex security initiatives. Serving as the primary technical authority within the squad, this position bridges the gap between enterprise security architecture, senior leadership vision, and hands-on deployment. The successful candidate will drive technical excellence, maintain strict regulatory compliance alignment, and optimize squad velocity within a Tier 1 financial institution.Your responsibilities in this role include:Strategic Direction: Translate macro enterprise cyber security strategies into actionable technical roadmaps, architectural patterns, and engineering deliverables for the squadTechnical Authority: Serve as the ultimate technical decision-maker within the squad, ensuring all software, platform, and security engineering activities align with bank-wide architecture standardsDelivery Execution: Oversee the end-to-end technical delivery lifecycle, actively managing engineering risks, technical dependencies, and complex release schedulesSquad Leadership: Lead and mentor a cross-functional squad of security engineers, architects, and analysts, optimizing performance, fostering collaboration, and driving engineering accountabilityStakeholder Management: Act as the primary technical interface for senior bank executives, enterprise architects, and risk committees, presenting technical solutions and delivery progressDeeplight Representation: Champion professional excellence, technical integrity, and consultative leadership across all client interactions, setting a benchmark for the broader teamCoaching and ManagementSenior leaders at DeepLight AI are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.CoachingGrowing future leaders through mentorship and feedbackEmpowering your teams to think independently and learn continuouslyFostering a culture of curiosity, reflection, and resilienceManagementAligning strategy with execution and ensuring delivery excellenceSetting clear goals and objectives, driving accountability, and supporting performanceLeading with transparency, integrity, and trustAs an AI consultancy, our greatest asset is the expertise of our people.While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders.If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.RequirementsWe need you to have:A minimum of 8 years in senior cybersecurity, engineering, or enterprise architecture roles, with at least 3 years acting as a technical lead or delivery directorExtensive experience driving technical delivery within a highly regulated tier-1 or tier-2 financial institution, navigating complex legacy environments and strict change controlsA proven track record in a senior client-facing professional services or management consulting role, managing executive client relationships and project scopesDocumented experience leading the technical deployment of enterprise-wide security solutions (e.g., identity platforms, cloud infrastructure security, or global data protection tools)An advanced ability to design and implement pragmatic, forward-looking security strategies across complex enterprise environmentsExpertise in validating technical designs against corporate blueprints, zero-trust principles, and industry-standard security modelsProven capability to command technical authority, resolve complex architectural disputes, and lead high-performing technical squadsAdvanced proficiency in Agile, Scrum, or Scaled Agile Framework (SAFe) methodologies to govern technical execution and delivery pipelinesStrong communication and diplomacy skills, with the capacity to defend technical decisions and risk trade-offs to non-technical C-suite stakeholdersIt would also be great if you have:Relevant professional designations such as CISSP, ISSAP, CISM, TOGAF, or advanced Agile Leadership credentials (e.g., PMI-ACP, SAFe Agilist)Advanced knowledge of securing distributed workloads across AWS, Azure, or hybrid cloud environmentsPractical familiarity with DevSecOps implementation, automated compliance-as-code, and containerization security modelsBenefitsThe benefits you'll enjoy as part of this role include:Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individualProfessional development and certification supportSubscription reimbursement relating to your roleOpportunity to work on cutting-edge AI projectsMonthly Employee Incentive programCareer advancement opportunities in a rapidly growing AI companyThis position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.

Job PurposeThe Manager Market Research is accountable for leading ADNOC Distribution’s enterprise‑wide customer, market, and insights function, providing strategic intelligence that informs decision‑making, drives growth, and embeds a customer‑centric mindset across the organization.Reporting directly to the Vice President, Marketing Strategy & Planning, the role owns the development and governance of customer and market insight strategies, translating complex data into actionable recommendations that shape brand strategy, portfolio development, customer experience, and commercial performance. The position operates as a strategic advisor to senior leadership and plays a critical role in aligning business priorities with evolving customer needs and market dynamics.Key AccountabilitiesEnterprise Customer & Market Insights StrategyDefine and lead the enterprise customer and market insights strategy, ensuring alignment with corporate objectives, growth priorities, and brand ambition.Establish the insights function as a strategic business partner, enabling fact‑based decision‑making across marketing, retail, product, digital, and commercial teams.Continuously evolve insight frameworks to reflect changes in customer behaviour, channel dynamics, and competitive landscapes.Ensure insights are forward‑looking, commercially relevant, and directly linked to business outcomes.Market Intelligence, Research & Analytics LeadershipOversee the design and execution of comprehensive market research programs, including quantitative, qualitative, ethnographic, and behavioural studies.Lead advanced customer segmentation, profiling, and journey analytics to deepen understanding of customer needs, motivations, and value drivers.Monitor and forecast market trends, category evolution, and competitor activity to identify risks and growth opportunities.Leverage predictive analytics and scenario modelling to anticipate customer behaviour and inform strategic planning.Insight Translation & Executive Decision SupportTranslate complex datasets and analytical outputs into clear, actionable insights that guide strategy, investment, and prioritisation decisions.Present insights, implications, and recommendations to executive leadership, enabling confident and informed decision‑making.Partner with senior stakeholders to embed insights into brand strategy, product development, customer experience design, and go‑to‑market planning.Act as a trusted advisor on customer and market‑led growth opportunities.Data Governance, Quality & Insight InfrastructureEstablish and govern robust insight processes, methodologies, and quality standards to ensure consistency, accuracy, and reliability of data.Own the development and maintenance of enterprise customer insight dashboards, tracking key customer, brand, and market performance indicators.Ensure compliance with data privacy, protection, and ethical standards while enabling responsible data usage across the business.Oversee the use of multiple internal and external data sources to create a unified view of the customer.Innovation, Advanced Analytics & Future CapabilitiesDrive adoption of advanced analytics, AI, and machine learning techniques to enhance insight generation and predictive capability.Balance AI‑driven analytics with human‑centric insight approaches to capture emotional, cultural, and behavioural nuances of customers.Explore and govern the use of synthetic data and emerging research methodologies to augment traditional insight sources.Champion continuous improvement and innovation within the insights function.Stakeholder Engagement & Enterprise EnablementPartner closely with marketing, non‑fuel retail, digital, loyalty, sales, and product teams to ensure insights are embedded in day‑to‑day decision‑making.Enable a customer‑first mindset across the organization through education, frameworks, and insight‑led storytelling.Manage key relationships with external research agencies, data partners, and technology providers.Ensure insights are accessible, understandable, and actionable for both strategic and operational stakeholders.People Leadership & Capability DevelopmentLead, develop, and coach the Customer & Market Insights team, fostering high performance, technical excellence, and professional growth.Build future‑ready capabilities across analytics, storytelling, and strategic thinking.Champion a culture of curiosity, rigour, and customer obsession within the team and broader marketing function.Provide thought leadership and coaching to marketing and non‑fuel retail teams on best‑in‑class insight utilisation.Qualifications, Experience & SkillsEducationBachelor’s degree in Marketing, Business, Statistics, Economics, or a related field.Master’s degree preferred.ExperienceMinimum 12 years’ experience in customer insights, market research, analytics, or related disciplines.Proven experience leading enterprise‑scale insights functions and influencing senior leadership decisions.Strong background in retail, consumer‑focused, or multi‑channel businesses.Experience in Middle East markets with strong regional consumer understanding preferred.

OverviewLooking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42’s new age AI-driven products & solutions from conceptualization, planning & prototyping all the way to testing & delivery.ResponsibilitiesYour key responsibilitiesYou will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios. Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios. Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner. Collaborate with researchers and engineers across teams for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability. Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders. Propose scenarios where AI techniques could improve the efficiency of the customer’s business. Provide pre-sales and post-sales technical support to the business development team.Skills and attributes for successThe criteria for your success would include cost savings achieved, number of use cases investigated & datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.QualificationsTo qualify, you must have M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable. Minimum 10 years of experience in developing AI algorithms for various modalities. Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.Ideally, you’ll also need A highly curious and inquisitive approach to problem-solving In-depth knowledge of the latest developments in AI and machine learning Excellent communication skillsWhat we look forIf you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community.What working at Inception offersCulture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations.Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects.Work-Life: A hybrid work policy to strike the perfect balance between office and home.Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more.If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

AI EngineerLocation: Abu Dhabi, UAE | Type: Permanent, Full-TimeWe recently had a brand new and exciting opportunity for an AI Engineer to join a telecommunications Defence Tech company based in Abu Dhabi. The AI Engineer will be designing and implementing production grade AI models to integrate with Oracle EBS.If you are a AI Engineer who has a strong software engineer background using Python, AI (LLMs & RAG) alongside on-prem ERP integration experience then this would be the perfect next step for you.Requirements for the AI Engineer:Experience designing and implementing AI models (LLMs, RAG & Predictive Analytics)Expertise in creating and maintaining APIs using PythonMust have on-prem ERP experience, preference is Oracle EBSMust be based in the UAE already or keen to relocateSalary - 25k-28k AED per month + UAE comprehensive benefits.Apply now to be considered for this great opportunity!

The Story So Far: We’re Building a Global Brand in Real EstateHuspy is one of the leading property technology companies in EMEA.Launched in 2020, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by 2026.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting‑edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen — faster, smarter, and better for everyone.We’re not slowing down.The question is: will you be part of what’s next?The Main Event: What You’ll Drive, Build, and OwnReal Estate Market Modeling: Build models applied to challenges such as valuation/pricing leveraging techniques from classic supervised ML to more advanced approaches.Multimodal Embeddings: Create vector representations of Real Estate entities, such as listings, combining images, text, and structured attributes to power search, matching, deduping, or recommendations.Data Analysis & Experimentation: Use SQL/Python to extract, clean, and analyze data; design experiments and evaluate model-product impact with robust metrics.Model Operationalization: Ship models to production with capabilities such as monitoring, automated rollout, or CI/CD (in partnership with engineering).Cross-functional Delivery: Partner with product, engineering, and operations teams to translate business problems into scalable ML solutions.The Perfect Match: What It Takes to Succeed at HuspyProven Experience: 4–8 years in applied data science/ML, delivering models that move real-world KPIs.SQL & Python Mastery: Strong in frameworks such as Pandas/NumPy/Scikit-learn...building reliable data pipelines, model training and evaluation.MLOps Fundamentals: Experience deploying/maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.Communication & Ownership: Clear with technical/non-technical stakeholders; can scope, prioritize, and explain tradeoffs.Comfortable with uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).Nice to Have: Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.Academic Background: Bachelor’s in STEM (Master’s a plus).By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.

Job DescriptionThe role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.Job Description - Grade SpecificPlays a crucial role in driving the successful implementation of machine learning initiatives within an organization. It combines technical expertise, Machine Learning Operations Engineer enables the deployment of machine learning models into production with leadership and strategic thinking to leverage the power of machine learning for business growth and innovation.

AI EngineerLocation: Abu Dhabi, UAE | Type: Permanent, Full-TimeWe recently had a exciting opportunity for an AI Engineer to join a telecommunications Defence Tech company based in Abu Dhabi. The AI Engineer will be developing and deploying AI models using Pytorch/TensorFlow for cloud and edge devices such as NVIDIA Jetson. If you are a AI Engineer who has a strong experience in deep learning, computer vision, time series modeling and reinforcement learning alongside AI/ML deployments to edge devices then this would be the perfect next step for you.Requirements for the AI Engineer:Experience deploying AI models to cloud and edge devicesExpertise in PyTorch or TensorFlowMust have experience with CNNs, GANs, Transformers, autoencoders etc.PHD or Master's in Computer Science or AI/MLMust be based in the UAE already or keen to relocateSalary - 30k-35k AED per month + Bonus & UAE comprehensive benefits.Apply now to be considered for this great opportunity!

Head of AI – Global FinTechLocation: Abu Dhabi, UAEFull Relocation Support ProvidedOverviewA rapidly scaling global FinTech platform is seeking a Head of AI to lead the development of next-generation AI-powered products, intelligent automation, recommendation systems, and AI-native engineering capabilities. The company operates a large-scale, real-time financial platform serving tens of millions of users across more than 150 markets and regions, with billions in daily transaction activity. The organization is investing heavily in AI as a strategic pillar to enhance customer experience, platform intelligence, automation, and developer productivity.This is a high-impact leadership role for an individual eager to shape AI strategy and architecture on a global scale, addressing complex real-world challenges in recommendation systems, LLM applications, AI infrastructure, and intelligent automation.Responsibilities Define and execute the company’s AI vision, roadmap, and technical strategy across multiple AI domains. Lead and scale a high-performing AI engineering and algorithms team. Drive the development of AI-powered capabilities, including: Large Language Models (LLMs) Intelligent customer interaction systems Personalized recommendation systems AI-native engineering productivity initiatives Build scalable AI platforms, reusable infrastructure, and production-grade ML systems. Lead deployment of recommendation and personalization pipelines, including: Retrieval Ranking Re-ranking Recommendation optimization Architect and productionize LLM-powered applications leveraging: Retrieval-Augmented Generation (RAG) Fine-tuning Agent frameworks Multi-modal AI workflows Enterprise knowledge systems Collaborate closely with product, engineering, and business leadership to align AI investments with measurable business impact. Foster a strong engineering culture, technical standards, and talent development practices within the AI organization. Stay ahead of emerging trends in generative AI, AI infrastructure, developer tooling, and applied AI systems.RequirementsRequired: Bachelor’s degree or above in Computer Science, Mathematics, Statistics, or related disciplines; advanced degrees preferred. 8+ years of experience in AI/ML engineering, with prior experience leading technical teams or large-scale AI initiatives. Proven experience deploying AI systems into production at scale. Strong hands-on experience with recommendation systems, including: Retrieval Ranking Re-ranking Personalization systems Deep practical experience building and deploying LLM applications, including: Prompt engineering Retrieval-Augmented Generation (RAG) Fine-tuning Agent workflows AI evaluation frameworks Experience building enterprise-grade AI knowledge systems and scalable AI infrastructure. Strong business and product understanding, with the ability to translate AI capabilities into measurable operational impact. Excellent communication and stakeholder management skills.Preferred Experience with leading global technology companies, large-scale consumer platforms, or AI-native organizations. Experience building AI platforms, MLOps ecosystems, or internal AI infrastructure frameworks. Familiarity with AI coding assistants and AI-native engineering workflows. Mandarin Chinese language capability (Professional working proficiency) is highly preferred, as the role involves frequent collaboration with regional stakeholders and engineering teams across APAC.Why Join Opportunity to shape AI strategy at a global scale. High visibility with executive leadership. Tackle large-scale, real-world AI deployment challenges. Work in an international engineering environment. Full relocation support provided.Unfortunately, due to volume of applicants, only shortlisted candidates will be contactedEA Licence No.: 25S3232EA Personnel Reg. No.: R1874604EA Personnel Name: Kenneth Ho

A senior AI consulting opportunity is available in Abu Dhabi for a commercially sharp, client-facing professional who can open doors, shape opportunities, and turn business problems into compelling transformation agendas. The role sits at the intersection of strategy, advisory, and AI innovation, with ownership of the early-stage client narrative before solution design begins. Role overview This position is focused on front-end consulting rather than hands-on delivery. You will work with senior stakeholders to define where AI can create value, frame the right problems to solve, and help build the business case for change. The right person will be comfortable leading executive conversations, guiding opportunity shaping, and influencing decision-makers in complex enterprise environments. What you’ll doLead early-stage client discussions with senior business and executive stakeholdersAct as a trusted advisor to C-suite leaders on business challenges and value creation opportunitiesRun discovery workshops, executive briefings, and pre-sales conversationsDefine AI-enabled use cases, problem statements, and transformation prioritiesTranslate business needs into clear briefs for technical and delivery teamsShape proposals, value narratives, and executive presentationsBuild business cases, ROI stories, and investment recommendationsWork closely with technical specialists to align commercial intent with practical executionStay current on AI, GenAI, and digital transformation trends from a business impact perspective What you’ll bring10+ years in management consulting, strategy, or senior advisory rolesStrong experience in pre-sales, transformation, or client advisory workA track record of helping win proposals and influence executive approvalExcellent stakeholder management and facilitation skillsStrong commercial judgement and the ability to build persuasive business casesHigh executive presence, emotional intelligence, and polished communication skillsExposure to AI, data, digital, or advanced analytics initiatives is an advantageWhat’s on offerA high-profile role shaping AI-led transformation opportunitiesDirect access to senior decision-makers and strategic client conversationsA chance to work at the intersection of consulting thinking and AI innovationClose collaboration with expert technical teamsA fast-paced, collaborative environment in Abu Dhabi.

Job DescriptionAs an expert in Ancillary Revenue and Merchandising, you will act as the strategic architect of Etihad’s non-fare revenue streams, driving the end-to-end development of innovative products that enhance the guest journey and maximize Revenue per Passenger (RevPP). This high-impact role sits at the intersection of Digital, Sales, and Airport Operations, leveraging AI and Machine Learning to deliver hyper-personalized offers—from branded fare optimization to 3rd-party partnerships like travel insurance and car rentals. You will be responsible for monitoring commercial performance, identifying new market opportunities, and implementing sophisticated merchandising strategies across all digital channels to ensure Etihad remains a leader in global aviation retailing.AccountabilitiesAct as the subject matter expert and develop innovative solutions to highlight and implement revenue opportunities to Revenue Management, Sales, Digital, eCommerce and Product teams, Airport operations.Identfy and lead end to end development of new ancillary products aligned with Etihad’s commercial goalsMonitor commercial performance of all ancillary categories, producing actionable insights on take rate and Revenue per Passenger (RevPP) to drive continuous improvement Lead the adoption of new ancillary products and drive the development of revenue contribution, including end-to-end management of the 3rd party ancillary product portfolio (e.g travel insurance, car rentals etc), ensuring the product portfolio and partners align with Etihad’s brand and commercial strategyDevelop and implement processes for leveraging new technology and deliver enhanced products to Etihad’s Guests and improving revenue, including the use of AI/ML systemsManage the strategy and performance of branded fares, including pricing, positioning, merchandising and buy-up optimization across all channelsDevelop and execute Etihad’s ancillary merchandising strategy across digital platformsQualificationsBachelors degree with 7 years’ travel/airline experience with a minimum of 3 years specifically in ancillary revenue with a strong grasp of ancillary product developmentAdvance experience analysing ancillary performance data to make strategic and tactical recommendations and decisionsExperience partnering with cross functional teams to deliver revenue targets, including Sales, Revenue Management, Digital, eCommerce, Product etc. Experience managing 3rd-party commercial partnerships within aviation, travel or eCommerce, including contract negotiation and performance managementProven track record in branded fares or fare-family strategy, including pricing, segmentation, and merchandisingStrong understanding of digital merchandising principles, including UX considerations and A/B testingAdditional InformationEtihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.To learn more visit www.etihad.comRecruitment Fraud AlertBeware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

Job DescriptionThis role is responsible for designing and delivering innovative enterprise solutions, with a strong emphasis on scalability, AI/ML integration, and digital modernization. The Solutions Architect will collaborate across business and technology teams to define architectures, drive innovation, and ensure alignment with strategic goals. The role requires leadership in shaping enterprise roadmaps, governance frameworks, and future‑proof technology platforms.AccountabilitiesDesign enterprise solutions that are scalable, reliable, and aligned with business objectives. Deliver large-scale IT projects ensuring integration, interoperability, and performance across systems. Drive innovation through AI/ML‑based solutions and emerging technologies. Collaborate with stakeholders to translate business requirements into technical enablers. Provide technical leadership and guidance to cross‑functional teams, ensuring adherence to best practices. Ensure compliance with security, privacy, and regulatory standards. Establish governance frameworks and maintain architectural documentation. Identify and mitigate risks to optimize reliability and efficiency. Collaborate with Agile teams to align design, timelines, and deliverables. Manage vendor relationships to ensure quality and timely delivery. Monitor system performance and recommend improvements for long‑term evolution. Stay abreast of industry trends to identify opportunities for optimization and cost savings. Qualifications7+ years of experience in enterprise solution architecture or complex IT solution design. Proven track record in delivering large-scale IT projects. Experience in innovation projects and driving new technology adoption. Hands‑on experience in designing AI/ML solutions. Strong Agile methodology experience. Airline industry experience is preferable. Certifications such as TOGAF, SAFe Architect, Open Certified Architect, UML, or ArchiMate are preferred. Ability to drive innovation roadmaps, optimization, and long‑term technology strategies. Additional InformationEtihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.To learn more visit www.etihad.comRecruitment Fraud AlertBeware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

Job DescriptionThis role is responsible for designing and delivering innovative enterprise solutions, with a strong emphasis on scalability, AI/ML integration, and digital modernization. The Solutions Architect will collaborate across business and technology teams to define architectures, drive innovation, and ensure alignment with strategic goals. The role requires leadership in shaping enterprise roadmaps, governance frameworks, and future‑proof technology platforms.AccountabilitiesDesign enterprise solutions that are scalable, reliable, and aligned with business objectives. Deliver large-scale IT projects ensuring integration, interoperability, and performance across systems. Drive innovation through AI/ML‑based solutions and emerging technologies. Collaborate with stakeholders to translate business requirements into technical enablers. Provide technical leadership and guidance to cross‑functional teams, ensuring adherence to best practices. Ensure compliance with security, privacy, and regulatory standards. Establish governance frameworks and maintain architectural documentation. Identify and mitigate risks to optimize reliability and efficiency. Collaborate with Agile teams to align design, timelines, and deliverables. Manage vendor relationships to ensure quality and timely delivery. Monitor system performance and recommend improvements for long‑term evolution. Stay abreast of industry trends to identify opportunities for optimization and cost savings. Qualifications7+ years of experience in enterprise solution architecture or complex IT solution design. Proven track record in delivering large-scale IT projects. Experience in innovation projects and driving new technology adoption. Hands‑on experience in designing AI/ML solutions. Strong Agile methodology experience. Airline industry experience is preferable. Certifications such as TOGAF, SAFe Architect, Open Certified Architect, UML, or ArchiMate are preferred. Ability to drive innovation roadmaps, optimization, and long‑term technology strategies. Additional InformationEtihad Airways is more than the UAE’s national airline - we’re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our “Journey 2030” ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.To learn more visit www.etihad.comRecruitment Fraud AlertBeware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.

We are looking for a Director / Head Senior ML Engineer Level 1 (Freelance) to join Shiventech Labs in Abu Dhabi. About the Role You will play a key role in building and scaling Data Engineering systems that drive real business value. Working alongside talented engineers and researchers, you will bring expertise in 25 years of experience to solve challenging problems. Key Responsibilities • Design, build and maintain Data Engineering solutions using 25 years of experience • Collaborate with engineering and product teams to deliver production-ready Data Engineering systems • Evaluate and integrate emerging tools and techniques relevant to 25 years of experience • Translate business requirements into robust technical implementations • Drive code quality, testing standards and documentation across the team Requirements • Proficiency in 25 years of experience • Strong communication skills and ability to work cross-functionally • Passion for Data Engineering and staying current with the