mechanical engineer

estimation engineer

sales engineer

associate engineer

data scientist

machine learning engineer

EPAM Systems

<div>EPAM is looking for a talented Data Scientist to join our team in Abu Dhabi. You will work on a dynamic fintech project that is transforming digital financial services across the region.
In this role, you will work with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to develop AI solutions for financial services. This role combines machine learning, natural language processing and data science skills to create intelligent systems that enhance our fintech platform&rsquo;s capabilities. You will collaborate with experienced team members while developing your expertise in cutting-edge AI technologies for financial applications.
If you are eager to grow your expertise in AI, passionate about data science and motivated to impact the future of digital finance, then this unique opportunity is for you.
Responsibilities<ul><li>
Design, develop and deploy language models and RAG systems for financial applications, optimizing and fine-tuning models</li><li>
Support research initiatives in language models and retrieval-augmented generation, staying updated with the latest advancements in NLP, machine learning and AI</li><li>
Collect, preprocess and analyze datasets to support model training and evaluation, contributing to data pipeline development</li><li>
Evaluate model performance using appropriate metrics and methodologies, identifying areas for improvement</li><li>
Collaborate with cross-functional teams including engineers, product managers and researchers to deliver data science solutions</li><li>
Document methodologies, experiments and results, preparing reports and presenting findings to team members and stakeholders</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s degree in computer science, Data Science, Machine Learning, Mathematics or a related field (master&rsquo;s preferred)</li><li>
Minimum 2 years of experience in data science and machine learning</li><li>
Experience with data science projects and model development preferred</li><li>
Some experience working with machine learning models, with exposure to NLP or language models a plus</li><li>
Proficiency in Python programming and machine learning frameworks (TensorFlow, PyTorch)</li><li>
Knowledge of SQL and cloud platforms (AWS, GCP, Azure)</li><li>
Hands-on experience with data visualization, machine learning algorithms, statistical methods and basic deep learning</li><li>
Strong communication, problem-solving and collaboration skills</li><li>
Desire to learn and grow in data science and AI technologies</li></ul>
Nice to have<ul><li>
Certifications in cloud platforms (AWS, Azure, Google Cloud) or AI/machine learning</li><li>
Basic understanding of MLOps and model deployment</li><li>
Knowledge of distributed computing frameworks</li><li>
Experience with data engineering tools and pipelines</li><li>
Understanding of financial services data and analytics</li><li>
Interest in financial modeling and risk assessment</li><li>
Awareness of AI applications in financial services</li></ul>
We offer<ul><li>
End of service gratuity</li><li>
Private healthcare and life insurance</li><li>
Employee assistance program</li><li>
Wellness program</li><li>
Annual air travel tickets for expatriates</li><li>
Regular performance feedback and salary reviews</li><li>
Global travel medical and accident insurance</li><li>
Referral bonuses</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more</li><li><ul><li>All benefits and perks are subject to certain eligibility requirements</li></ul></li></ul></div>

Data Scientist

Al Etihad Payments

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 |
 
 About the role
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 
 
 
 
 
 
 |What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Development and Deployment:
 
 </li>
 <li>
 Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
 </li>
 <li>
 Optimize and fine-tune models to improve performance and accuracy for various applications.
 </li>
 <li>
 
 Research and Innovation:
 
 </li>
 <li>
 Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
 </li>
 <li>
 Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
 </li>
 <li>
 
 Data Analysis and Processing:
 
 </li>
 <li>
 Collect, preprocess, and analyze large datasets to support model training and evaluation.
 </li>
 <li>
 Implement robust data pipelines to ensure efficient data flow and processing.
 </li>
 <li>
 
 Model Evaluation and Improvement:
 
 </li>
 <li>
 Evaluate model performance using appropriate metrics and methodologies.
 </li>
 <li>
 Identify areas for improvement and implement strategies to enhance model effectiveness.
 </li>
 <li>
 
 Collaboration and Mentorship:
 
 </li>
 <li>
 Collaborate with cross-functional teams including engineers, product managers, and researchers.
 </li>
 <li>
 Mentor and guide junior data scientists and machine learning engineers.
 </li>
 <li>
 
 Documentation and Reporting:
 
 </li>
 <li>
 Document methodologies, experiments, and results comprehensively.
 </li>
 <li>
 Prepare and present reports and findings to stakeholders and team members.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 |Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 </li>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 
 Experience:
 
 </li>
 <li>
 Minimum of 2 years of experience in LLM and Gen. AI
 </li>
 <li>
 Minimum of 5 years of experience in data science and machine learning.
 </li>
 <li>
 Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
 </li>
 <li>
 Experience with natural language processing and understanding tasks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 |Skills &amp; Competencies
 
 
 <ul>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strong understanding of machine learning algorithms, deep learning, and statistical methods.
 </li>
 <li>
 Experience with data visualization tools and techniques.
 </li>
 <li>
 Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
 </li>
 <li>
 
 Optional Skills:
 
 </li>
 <li>
 Proficiency in Arabic language (reading, writing, speaking) is a plus.
 </li>
 <li>
 
 Soft Skills:
 
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration abilities.
 </li>
 <li>
 Ability to work independently and in a team-oriented environment.
 </li>
 <li>
 Continuous learning mindset and a passion for innovation.
 </li>
 </ul>
 
 
 
 
 
 |Working Conditions
 
 
 <ul>
 <li>
 Full-time position; hybrid/remote options as per company policy.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Takamul

Deeplight

<div>About DeepLight AI: DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries. Our team combines deep expertise in AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
Role Overview: We are looking for a Senior AI/ML Engineer to design, develop and implement machine learning models and AI-powered solutions for our enterprise clients. The successful candidate will work on complex data processing pipelines, model development, and performance optimisation across various business domains.
Key Responsibilities:<ul>
<li>Design and implement AI/ML models to solve complex business problems</li>
<li>Develop data processing pipelines for model training and deployment</li>
<li>Implement algorithm optimizations for performance improvement</li>
<li>Create prediction engines and pattern recognition systems</li>
<li>Tune models based on performance metrics and feedback</li>
<li>Test AI models for accuracy, bias, and robustness</li>
<li>Implement AI monitoring and logging mechanisms</li>
<li>Collaborate with data engineers and full-stack developers to integrate AI solutions</li>
<li>Provide technical expertise on AI/ML best practices and methodologies</li>
</ul>Requirements<ul>
<li>8+ years of experience in machine learning and AI development</li>
<li>Strong proficiency in Python and relevant ML frameworks (TensorFlow, PyTorch, scikit-learn)</li>
<li>Experience with NLP, computer vision, or predictive analytics</li>
<li>Knowledge of data processing and feature engineering techniques</li>
<li>Experience with model deployment and production ML pipelines</li>
<li>Understanding of cloud platforms (AWS, Azure, or GCP)</li>
<li>Strong problem-solving skills and attention to detail</li>
<li>Experience with financial data or enterprise solutions a plus</li>
</ul>Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>International exposure and travel opportunities</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This 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.</div>

AI / ML Engineer

Acenet consulting

<div><div>Experience: 7 to 12 years
 
Location: Abu Dhabi
 
Job code: 101331
 
Posted on: Sep 23, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are seeking an experienced Data Scientist to join our team and drive advanced analytics initiatives in the public sector finance domain. The ideal candidate will have proven expertise in machine learning, predictive analytics, and financial forecasting, and will act as a key advisor, model developer, and knowledge transfer facilitator.
<div>Key Responsibilities : 
<ul><li>Deployment of a machine learning-based anomaly detection system, including reports of detected anomalies and recommended mitigation actions.</li><li>Roadmap and integration plan for advanced analytics use cases within the Financial Foresight Platform.</li><li>Implementation of an automated reconciliation system integrated between FMIS and TMS, supported by anomaly detection capabilities.</li><li>Scenario analysis reports detailing identified risks, compliance gaps, and ML model outputs to support decision-making.</li><li>Development of predictive models for debt management and reporting on optimal debt strategies.</li><li>Insights and visual reports on the influence of external economic indicators and trends on national financial planning.</li><li>Identification and documentation of additional use cases, along with
</li></ul>recommendations for refining and optimizing existing analytics models.</div>
<div>Role Requirements and Qualifications: 
<ul><li>Proficiency in Python, R, or similar languages for machine learning.</li><li>Hands-on experience with data platforms and cloud-based analytics.</li><li>Strong understanding of public sector finance and economic modeling.</li><li>Experience in dashboard development using Tableau is a plus.</li><li>The individual will act as an advisor, model developer, and knowledge transfer facilitator to build internal capacity.</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position</div>

GenBio AI

<div>
 Headquartered in Silicon Valley, we are a newly established start-up where a collective of visionary scientists, engineers, and entrepreneurs are dedicated to transforming the landscape of biology and medicine through the power of generative AI. Our team comprises leading minds and innovators in AI and biological science, pushing the boundaries of what is possible. We are dreamers who reimagine a new paradigm for biology and medicine.
 
 
 We are committed to decoding biology holistically and enabling the next generation of life-transforming solutions. As the first mover in pan-modal Large Biological Models (LBM), we are pioneering a new era of biomedicine, with our LBM training leading to ground-breaking advancements and a transformative approach to healthcare. Our robust R&amp;D team and leadership in LLMs and generative AI position us at the forefront of this revolutionary field. With headquarters in Silicon Valley, California, and a branch office in Paris and Abu Dhabi, we are poised to make a global impact. Join us as we embark on this journey to redefine the future of biology and medicine through the transformative power of Generative AI.
 
 
 
 Job Description:
 
 
 
 <ul>
 <li>
 You will work with the team to conduct cutting-edge research in AI, foundation models, and computational biology. Your primary tasks will include improving existing models and exploring new methodologies to advance our AI capabilities in biology
 </li>
 <li>
 You will collaborate with the team on designing and executing large-scale experiments, analyzing complex datasets, and applying statistical techniques to validate the performance and robustness of AI systems
 </li>
 <li>
 Additionally, you will work closely with AI/machine learning researchers and computational biologists to develop Genbio AI&rsquo;s state-of-the-art biology foundation models and drive the research agenda to generate impact
 
 
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Currently enrolled in a full-time master's or PhD (preferred) program in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field (preferably in the United States)
 </li>
 <li>
 A strong coder with excellent skills in C/C++ and Python
 </li>
 <li>
 Fluent in deep learning frameworks like PyTorch (and/or JAX), Hugging Face (Datasets, Accelerate, Transformers, etc.), Megatron-LM, DeepSpeed, etc
 </li>
 <li>
 Have a solid understanding of GPU, CPU, or other AI accelerator architectures
 </li>
 <li>
 Familiar with LLM (and/or other foundation model) architectures (such as attention mechanisms, state-space models, MoE, etc.) and training infrastructure (e.g., large-scale GPU clusters)
 </li>
 <li>
 Have experience improving ML accuracy using low-precision formats
 </li>
 <li>
 Have 1+ years of relevant industry experience
 </li>
 <li>
 Derive a great deal of satisfaction from every percentage point of performance improvement
 </li>
 <li>
 Have experience writing and optimizing compute kernels using CUDA or similar languages
 
 
 
 
 </li>
 </ul>
 
 Nice to Have:
 
 
 
 <ul>
 <li>
 Current PhD in Computer Science and Engineering with a specialization in Computer Architecture, Parallel Computing, Compilers, or other systems
 </li>
 <li>
 Co-optimizing computing infrastructure and deep learning frameworks for optimal performance on specific workloads. Identify and resolve performance bottlenecks through profiling and system analysis
 </li>
 <li>
 Experience collaborating with data scientists and machine learning engineers to integrate distributed training capabilities into GenBio AI&rsquo;s model development and deployment frameworks
 </li>
 <li>
 Proficient in Python with experience in GPU-accelerated libraries (e.g., CUDA, cuDNN)
 </li>
 <li>
 Knowledge of performance profiling and optimization tools for HPC and deep learning
 
 
 
 
 </li>
 </ul>
 Join us as we embark on this journey to redefine the future of biology and medicine.
 
 
 We are an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
</div>

Research Engineer Intern

CloudJune Technologies LLC

Senior AI/ML EngineerAs a Senior AI/ML Engineer at AI Factory, you will be a key leader in the entire lifecycle of our strategic AI/ML initiatives, from visionary ideation and rigorous experimentation to secure deployment and impactful scaling across entities. You will be instrumental in architecting and implementing sophisticated AI models, spanning both robust traditional methodologies and cutting-edge generative techniques, strategically leveraging the best of open-source and proprietary technologies. You will collaborate closely with government Business Subject Matter Experts (SMEs), visionary AI product designers, a talented team of Data Scientists and Engineers, and innovative Software Engineers to build robust, scalable, secure, and impactful AI-powered products that directly benefit the citizens, residents and visitors of Abu Dhabi.What You'll Do:&#9679; Design, development, and deployment of advanced AI models and end-to-end pipelines for a diverse portfolio of government applications, encompassing both traditional ML (e.g., classification, regression, time series forecasting, recommendation engines) and state-of-the-art Generative AI (e.g., large language models, photorealistic diffusion models, generative adversarial networks).&#9679; Masterfully work with complex and sensitive government datasets, strategic data preprocessing, insightful feature engineering, and rigorous analysis to prepare data for optimal model training, precise fine-tuning, model calibration and comprehensive evaluation.&#9679; Expertly utilize and potentially contribute to leading open-source AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, and a range of specialized ML/GenAI tools.&#9679; Architect and maintain robust and highly scalable AI pipelines leveraging open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP), ensuring security and compliance with government standards.&#9679; Proactively experiment with and strategically implement cutting-edge techniques in both traditional and Generative AI, continuously staying at the forefront of the latest research, advancements, and ethical considerations within the field.&#9679; Drive effective collaboration with diverse cross-functional teams, including government Business SMEs, fellow Data Scientists, experienced Data Engineers, innovative Software Engineers, user-centric Experience Designers, intuitive UI/UX Developers, and visionary Product Managers, to clearly define critical problem statements, co-develop impactful AI solutions, and seamlessly integrate AI/ML models into existing government technology ecosystems to significantly enhance business processes and user experiences.&#9679; Contribute significantly to the evolution of our internal AI/ML infrastructure and champion best practices, rigorously promoting code quality, ensuring reproducibility of results, and establishing efficient and secure workflows aligned with government regulations.&#9679; Critically evaluate model performance using appropriate government-centric metrics and proactively implement robust AI safeguard strategies to ensure ethical, transparent, and reliable AI solutions, driving continuous improvement and optimization.&#9679; Thoroughly document methodologies, well-commented code, and clearly articulated results for both technical and non-technical stakeholders within the government.&#9679; Expertly troubleshoot and effectively resolve complex issues related to AI/ML models and critical pipelines in live government production environments, ensuring minimal disruption to essential services.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Machine Learning, Statistics, or a closely related quantitative field with a strong analytical foundation.&#9679; A minimum of 3 years of demonstrable and impactful hands-on experience in the end-to-end lifecycle of developing and deploying robust machine learning models or GenAI solutions in a demanding production environment.&#9679; Deep theoretical understanding and significant practical experience in a broad spectrum of traditional machine learning algorithms and techniques, with a proven ability to apply them effectively to real-world problems.&#9679; Strong demonstrated experience with the intricacies of generative AI models and techniques, including practical application of large language models (LLMs), diffusion models, and generative adversarial networks (GANs).&#9679; Exceptional proficiency in core programming languages essential for AI/ML, particularly Python, with a focus on writing clean, efficient, and well-documented code.&#9679; Extensive practical experience with key open-source AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers) and a strong understanding of their underlying principles.&#9679; Proven experience in building and deploying resilient AI pipelines utilizing open-source orchestration, deployment, and monitoring tools (e.g., Kubeflow, MLflow, Airflow, Langchain, LlamaIndex, n8n, MCP, Docker, Kubernetes), with a focus on security and scalability.&#9679; Solid understanding of data engineering principles and substantial experience working with large, complex, and potentially sensitive government datasets and secure cloud-based data platforms (e.g., Azure).&#9679; Proven experience working with a variety of database systems including relational databases (e.g., PostgreSQL, MySQL), vector databases (e.g., Milvus, Pinecone, ChromaDB) and graph databases (e.g., Neo4j, ArangoDB) for modeling and querying complex relationships between entities.&#9679; Exceptional problem-solving and strong analytical skills with a proven ability to effectively translate complex government business requirements into robust and scalable technical AI solutions.&#9679; Outstanding communication and strong collaboration skills, with the ability to clearly and concisely explain complex technical AI concepts and findings to both highly technical and non-technical stakeholders across various government entities.&#9679; A proactive, highly self-driven, and results-oriented attitude with a genuine passion for continuous learning and staying at the absolute forefront of the latest advancements and ethical considerations in the dynamic field of AI/ML.Bonus Points For:&#9679; Proven experience implementing and leveraging AIOps practices and tools within a production environment.&#9679; Specific familiarity with the unique challenges and opportunities within the government sector or relevant industry domains within Abu Dhabi.&#9679; Hands-on experience with distributed training and efficient inference techniques for large-scale AI models.&#9679; Contributions to the open-source AI/ML community or publications in relevant AI/ML conferences or journals.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>Python, TensorFlow, PyTorch, and cloud platforms: 5 years (Required)</li><li>AI ethics, data privacy, and MLOps: 3 years (Required)</li><li>AI/ML development : 5 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior AI/ML Engineer

First Abu Dhabi Bank

<div>Company Description 
FAB, the UAE's largest bank and one of the world's most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth.
We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry. 
Job Description 
Core Responsibilities:
<ul><li>Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back</li><li>
Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.</li><li>
Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.</li><li>
Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.</li><li>
Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.</li></ul>
Provide on-going tracking and monitoring of performance of decision systems and statistical models built by the data science unit. 
Qualifications 
Minimum Qualification:<ul><li>
Bachelor's degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.</li><li>
Additional degree or certifications in the field related to the data science/Analytics is preferred.</li></ul>
Minimum Experience:<ul><li>
Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience</li><li>
Experience and an understanding of a wide variety of analytical processes.</li></ul>
Excellent written and verbal communication skills. 
Additional Information 
Technical Skills<ul><li>
SAS (Base SAS,EMiner ,EG)</li><li>
Python</li><li>
Databricks and Dataiku platform knowledge is a plus</li><li>
Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)</li><li>
Data Visualization (Power BI)</li><li>
Deep learning frameworks (Tensorflow/pytorch/Maxnet)</li></ul></div>

Specialist- Data Scientist

Explore 549+ Machine learning engineer in Abu Dhabi this October. Find roles across top companies and apply now to boost your career.

549 machine learning engineer jobs IN Abu Dhabi

Data Scientist

Senior Data Scientist - Takamul

AI / ML Engineer

Data Scientist

Research Engineer Intern

Senior AI/ML Engineer

Specialist- Data Scientist