Data Scientist – AI & Machine Learning | UAE

Location: Abu Dhabi, United Arab Emirates
Job Category: Information Technology (IT) & Software;
Science & Research
Contract Duration: 3 Months
Experience

Required:

5–7 years minimum in AI and Machine Learning engineering
Eligibility: Open to all

An opportunity is available for an experienced Data Scientist to work on AI and Machine Learning initiatives in Abu Dhabi, UAE, under a three-month contract. The ideal candidate will have strong practical experience in AI and Machine Learning engineering, with a proven ability to deploy end-to-end machine learning solutions into production, from data collection through to end-user deployment.

The role requires advanced knowledge of statistics, Machine Learning, and Deep Learning, alongside strong Python programming skills and experience with frameworks such as Tensor Flow and PyTorch. Candidates should understand Retrieval-Augmented Generation (RAG) and Model Context Protocol (MCP) principles, as well as modern MLOps and Dev Ops practices.

The successful candidate should also be capable of designing robust algorithms and data architectures for critical systems, participating in client-facing technical workshops, and working within environments that require careful attention to data security, privacy, and sovereignty.

• Develop and deploy end-to-end Machine Learning solutions, from initial data collection to production and end-user deployment.
• Design robust algorithms and data architectures for critical systems and real-time operational requirements.
• Apply statistical methods, Machine Learning algorithms, and Deep Learning techniques to solve technical problems.
• Work with Python and AI frameworks such as Tensor Flow and PyTorch.
• Apply knowledge of RAG and MCP principles to relevant AI engineering solutions.
• Work with databases and SQL, including exposure to No
  
  SQL systems.
• Use MLOps tools such as MLflow to support the development and deployment lifecycle.
• Apply Git Lab, Docker, CI/CD, and Dev Ops tooling within development workflows.
• Participate in or lead client-facing workshops and technical ideation sessions.
• Follow relevant data security, privacy, and sovereignty requirements for defense or critical infrastructure environments.
• Use Jira and Agile practices to support project coordination and delivery.

• Minimum 5–7 years of practical AI and Machine Learning engineering experience.
• Proven experience deploying end-to-end ML solutions into production.
• Ability to design algorithms and data architectures for critical systems and real-time operational constraints.
• Experience participating in or leading client-facing workshops and technical ideation sessions.

• Advanced knowledge of statistics, Machine Learning, and Deep Learning algorithms.
• Hands-on understanding of RAG and MCP principles.
• Strong proficiency in Python.
• Experience with Tensor Flow and PyTorch.
• Solid understanding of database technologies and SQL, with exposure to No
  
  SQL.
• Practical experience with MLflow and MLOps workflows.
• Experience with Git Lab, Docker, CI/CD, and modern development environments.
• Familiarity with data security, privacy, and sovereignty requirements in defense or critical infrastructure environments.

• Hands-on experience with Jira.
• Agile methodologies.
• CI/CD and Dev Ops practices.
• Git, Jenkins, Artifactory, and Sonar.

Exposure to Java, Spark, or Scala is an advantage.

• Position: Data Scientist
• Location: Abu Dhabi, UAE
• Duration: 3 months
• Eligibility: Open to all

Salary, benefits, and the Final date to receive applications have not been specified in the supplied vacancy details.