129 Data Scientists jobs in Abu Dhabi

Senior Product Manager for Big Data and AI Analytics Platform

We are seeking an experienced and strategic Senior Product Manager to lead the evolution and commercialization of our in-house Big Data & AI Analytics Platform.

This role requires a unique blend of deep technical expertise, strong product leadership, and a sharp commercial mindset.

The ideal candidate will be responsible for defining and driving the long-term vision and roadmap for our analytics platform, aligning it with evolving market trends in GenAI, BI, and big data processing.

• Define and drive the long-term vision and roadmap for our analytics platform.
• Build and lead a high-performing product team with strong technical and analytical capabilities.
• Establish and refine product processes across discovery, planning, delivery, and iteration.
• Drive cross-functional alignment across engineering, data, security, and go-to-market functions.
• Define and execute the go-to-market strategy including packaging, pricing, and competitive positioning.

To succeed in this role, you should have:

• 10+ years of product management experience, including 3–5 years in a senior management leadership role.
• A deep understanding of building data-intensive generic platforms driven by metadata. Proven success bringing analytics or big data processing or AI platforms to market.
• Commercial mindset with experience in GTM planning, pricing, and positioning.
• Deep understanding of data architectures: data lake, data warehouse, processing engines (e.g., Spark, Trino, ClickHouse), data governance, and security policies.
• Hands-on familiarity with AI/ML workflows including LLMs, embeddings, RAG, and model lifecycle integration.

As a Senior Product Manager at our company, you will enjoy:

• A competitive remuneration package.
• Opportunities for personal growth and continuous learning.
• An open, diverse, and inclusive work environment.

Apt Resources seeks an experienced data specialist to design and implement large-scale data solutions.

• Build robust data pipelines using Python, SQL/NoSQL, and Airflow.
• Develop ETL/ELT processes for structured/unstructured data.
• Manage data lakes and optimize storage solutions.

• Design efficient data models for analytics.
• Implement data governance and quality frameworks.
• Work with cloud-based data platforms (Azure preferred).

• Prepare and process datasets for machine learning applications.
• Collaborate with ML teams on feature engineering.

• 10-12 years of hands-on big data experience.
• Expertise in:
• Python and SQL/NoSQL databases.
• Airflow for workflow orchestration.
• ETL/ELT pipeline development.
• Cloud data platforms (Azure, AWS, or GCP).

The successful candidate will have a strong understanding of big data technologies and the ability to design and implement scalable data solutions.

This is a unique opportunity to work with a government client in Abu Dhabi and contribute to public sector digital transformation.

Collect and analyze complex data to inform strategic business decisions.

• Analyze large datasets from various sources to identify trends and insights.
• Develop innovative solutions to meet stakeholder needs and drive business outcomes.
• Create automated reports, predictive models, and data visualizations.
• Communicate findings effectively to both technical and non-technical audiences.

• Bachelor's degree in computer science, mathematics, statistics or related field.
• Experience with SQL, Python, or R programming languages and statistical analysis techniques such as regression and clustering.
• Excellent problem-solving skills, attention to detail, and ability to work under pressure.

• Opportunity to work on diverse projects and collaborate with cross-functional teams.
• Professional development and training opportunities to enhance skills and knowledge.
• A dynamic and supportive work environment that fosters growth and innovation.

• Analyze complex data to identify trends and insights.
• Develop innovative solutions to meet stakeholder needs.
• Communicate findings effectively to both technical and non-technical audiences.

Highly skilled engineers with expertise in data analysis and interpretation are required to ensure the accuracy and integrity of our inspection results.

• Verify tool performance during project execution.
• Ensure data quality of inspection runs.
• Analyze ultrasonic and electromagnetic data.
• Develop custom reporting solutions to meet customer needs.

• Strong attention to detail and excellent communication skills.
• Ability to work independently or within a team.
• Flexibility to adapt to changing project requirements.

This role requires a high level of expertise in data analysis, strong problem-solving skills, and the ability to communicate complex technical information effectively.

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MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) is looking for passionate and highly motivated Faculty. The successful candidates will be responsible for delivering high-quality instruction, mentoring students, contributing to curriculum development, and actively engaging in interdisciplinary research. Faculty members will also have the opportunity to collaborate with leading AI researchers, work on cutting-edge projects, and contribute to the university's growth as a hub for AI excellence.

The Department of Machine Learning is expanding and we invite candidates at all levels (Assistant, Associate and Full Professor) to apply.

The Department of Machine Learning undertakes rigorous, high-impact, and original research. Research topics include, but are not limited to; machine learning for large models, trustworthy AI, explainable AI, deep learning, reinforcement learning, optimization, collaborative learning, representation learning, theoretical machine learning, and causality.

About MBZUAI – A Global Leader in AI Research and Education

MBZUAI is the world's first university dedicated exclusively to AI and is rapidly emerging as a global leader in the field. Since its establishment in 2020, MBZUAI has grown into a top-ranked AI institution, currently hosting 80+ world-class faculty and 330+ graduate students and ranking among the top 10 AI universities worldwide.

With ambitious plans to expand from 8 to over 20 AI departments and grow its faculty from 84 to 300 by 2030, MBZUAI is on a fast-track growth trajectory. By integrating academia, industry, and government collaboration, we are driving AI innovation to address real-world challenges in healthcare, sustainability, and beyond.

To further this vision, MBZUAI is launching its first Undergraduate (Bachelor's) degree programs next academic year and is actively hiring Teaching Faculty. Meanwhile, our Master's and PhD programs continue to expand, introducing new specializations inStatistics and DataScience,ComputationalBiology, andHuman-ComputerInteraction.

Why Join MBZUAI?

• Top-Tier Compensation: Competitive salaries aligned with leading global academic institutions
• Funding: MBZUAI empowers researchers with resources and academic freedom, fostering groundbreaking AI advancements in an environment of innovation and independent inquiry.
• Exceptional Benefits:
  • Comprehensivehealth & life insurance
  • Relocation supportfor international faculty
• State-of-the-Art Research Facilities: Cutting-edge AI labs and high-performance computing
• Live in Abu Dhabi:World's safest city, year-round sunshine, rich culture, and modern amenities
• Industry & Government Collaborations: Work with top AI researchers, leading tech firms, and policymakers

Qualifications

This position requires a PhD in Computer Science or a closely related field. Candidates should have demonstrated excellence in conducting innovative and impactful research, and an interest in mentoring students.

Application Instructions

To apply for this position, please submit the following:

• Statement of research vision and interests (optional)
• Statement of teaching interests, experience, and philosophy (optional)
• List of publications (optional)
• Name and contact details for three referees (reference letters from applicants will not be accepted, each referee will be contacted to upload their reference letter via Interfolio).

MBZUAI's mission includes fostering a diverse academic community. MBZUAI is an equal opportunity employer. The university actively recruits faculty from around the world, aiming to create an international and inclusive environment that reflects a wide range of cultures and perspectives.

Be a part of AI's future – apply today at MBZUAI

MBZUAI is an open invitation to the world to collaborate on AI at a leading artificial intelligence university in a thriving, innovative and multic.

EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master’s or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more!

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.

Client - Pioneering AI Company

Title - Machine Learning Engineer

Job Purpose

Are you a seasoned ML &/OR Data Scientist with a passion for AI and a track record of harnessing the power of data, developing algorithms and models to extract valuable insights, and helping us fuel the intelligence of our AI solutions? As our Machine Learning Engineer, you'll play a critical role in shaping and delivering cutting-edge solutions that redefine industries and create transformative impact.

• Analyze large and complex datasets to extract meaningful insights and inform data-driven decision-making.
• Develop, train, and deploy predictive models to enhance the capabilities of our AI solutions.
• Work on and apply cutting-edge AI technologies to business contexts, e.g. Large Language Model (LLM) or Retrieval-Augmented Generation (RAG).
• Collaborate with cross-functional teams to understand business objectives and translate them into actionable data science tasks.
• Continuously evaluate and improve existing models based on real-world performance and evolving business needs.
• Implement and maintain data preprocessing pipelines to ensure the quality and reliability of input data.
• Stay abreast of advancements in machine learning and data science techniques, applying them to improve model accuracy.
• Communicate findings and insights effectively to both technical and non-technical stakeholders.

• 5+ years of experience in AI, Machine Learning, RL, data science or a related field.
• Familiarity and proven experience in using LLMs/ fine-tuning LLMs.
• Master's or Ph.D. in AI, Data Science, Statistics, Computer Science, or a related field.
• Proficient in programming languages such as Python or R. Candidates with awards in ACM/ICPC, NOI/IOI, Top Coder, Kaggle and other competitions are preferred.
• Strong analytical and statistical modeling skills.
• Experience with machine learning (Generative AI) frameworks (e.g., scikit-learn, TensorFlow, PyTorch, Langchain, Weaviate, Langgraph, LlamaIndex).
• Proven track record of applying data science to solve real-world problems.
• Excellent communication and collaboration skills.

AI71 is an industry leader in artificial intelligence, delivering innovative solutions that empower developers, businesses and governments to solve complex challenges. AI71 builds secure, enterprise-ready applications powered by cutting-edge technology—tailored for knowledge workers and sector-specific needs. AI71 bridges the gap between advanced AI and real-world impact. Guided by a strong commitment to research and responsibility, we create transformative solutions that drive progress and empower communities.

We are seeking an AI / ML Engineer with expertise in computer vision and image processing. The ideal candidate will develop and optimize deep learning models / VLMs for object detection, segmentation, classification, text extraction, and fine-tuning for domain-specific applications.

• Train and optimize object detection, segmentation, and classification models for architectural drawings.
• Fine-tune YOLO, R-CNN, and Transformer-based models to improve accuracy and efficiency for domain-specific tasks.
• Implement OCR and symbol recognition for automated compliance checking.
• Develop lossless image compression and feature extraction techniques.
• Improve image pre-processing pipelines for architectural data quality.
• Utilize OpenCV and Deep Learning for drawing analysis.
• Customize and fine-tune pre-trained vision-language models (VLMs) while enabling their multimodal AI capabilities.
• Optimize model parameters, embeddings, and transfer learning strategies to enhance performance and efficiency.
• Continuously improve AI models based on real-world feedback, evolving datasets, and domain requirements.
• Optimize model architectures to reduce computational costs while maintaining accuracy.
• Deploy AI models on cloud or on-prem infrastructure with Docker / Kubernetes is a plus.
• Integrate AI workflows into AutoCAD and BIM environments is a plus.

• Computer Vision & Deep Learning : OpenCV, YOLO, R-CNN, Mask R-CNN, EfficientNet
• OCR & Symbol Extraction : Tesseract, EasyOCR, NLP for document parsing
• Fine-Tuning & Transfer Learning : Vision-Language Models (VLMs), CLIP, Transformer-based architectures
• Programming : Python, C++
• Cloud & Deployment : AWS, Azure, GCP, TensorFlow Serving, ONNX
• Image Processing : Feature extraction, noise reduction, compression techniques
• 7+ years of Experience in the computer vision solutions
• Strong problem-solving skills in computer vision applications.
• Ability to optimize AI pipelines for real-world datasets.
• Experience integrating AI models into software applications.
• Familiarity with CAD tools (AutoCAD, Revit, DXF / DWF processing) is a plus.

• Mission-Driven Work : Work on cutting-edge AI applications with a talented and passionate team, solving real-world challenges in critical sectors.
• Unparalleled Opportunity : This is a chance to innovate and solve real-world challenges using AI at a company with unique access to world-leading models and resources.
• Career Growth : We offer competitive compensation, benefits, and significant career growth opportunities as a foundational member of the team.
• World-Class Environment : Enjoy a flexible working environment and the latest tools & technologies needed to do your best work.

• Role Level: Mid-Level
• Work Type: Full-Time
• Country: United Arab Emirates
• City: Abu Dhabi
• Company Website:
• Job Function: Engineering
• Sector: Technology Information and Internet

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EchoTwin AI is the intelligence layer powering self-healing cities—urban systems that not only detect issues in real time, but also trigger automated corrective actions or surface prioritized insights through agentic workflows. This represents a fundamental shift from reactive governance to proactive, adaptive urban management. The result? Cleaner, safer, smarter cities that manage themselves.

Our platform combines artificial intelligence, digital twins, and spatial analytics to help municipalities and infrastructure operators monitor assets, enforce compliance, and optimize urban operations. By integrating edge-based visual intelligence with real-time data and geospatial reasoning, EchoTwin AI delivers continuous oversight and faster, more intelligent responses to complex urban challenges.

With deployments across North America and the Middle East—including flagship projects in New York City, Abu Dhabi, and Riyadh—we partner with forward-thinking governments and innovators to build resilient, adaptive infrastructure for the cities of tomorrow.

• Collaborate with cross-functional teams, including the product manager, software developers, and domain experts.

• Research and experiment with state-of-the-art tools and techniques in Machine Learning.

• Document processes, pipelines, and model performance thoroughly.

• Train and deploy machine learning models for object detection and classification in images and videos.

• Preprocess and annotate image and video datasets for training purposes.

• ·Optimize deep learning models for efficiency and scalability in production.

• ·Design and implement predictive models to analyze trends, patterns, and anomalies.

• Develop data pipelines with data engineers to handle large-scale structured and unstructured datasets.

• Apply statistical and machine learning techniques to forecast outcomes and support decision-making.

• Master's or Bachelor's degree in Computer Science, Mathematics, IT, or a related field.

• 5+ years of experience as a Computer Vision Engineer.

• 10+ years in software development and machine learning.

• Strong knowledge of machine learning concepts and algorithms.

• Proficiency in Python, C++, and ML libraries like TensorFlow or PyTorch.

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Experience in computer vision, particularly object detection and image processing techniques (e.g., YOLO).

• Familiarity with predictive analytics tools.

• Knowledge of cloud platforms (AWS) for deploying and managing machine learning models.

• Experience with MLOps practices.

• Proficiency in spoken and written English.

There are endless learning and development opportunities from a highly diverse and talented peer group, including experts in various fields, including Computer Vision, GenAI, Digital Twin, Government Contracting, Systems and Device Engineering, Operations, Communications, and more

• Options for medical, dental, and vision coverage for employees and dependents (for US employees)

• Flexible Spending Account (FSA) and Dependent Care Flexible Spending Account (DCFSA)

• 401(k) with 3% company matching

• Unlimited PTO

• Profit sharing

Please do not forward resumes to our jobs alias, EchoTwin AI employees, or any other company location. EchoTwin AI is not responsible for any fees related to unsolicited resumes.