Senior Technical Engineer (Data Science / Machine Learning)

Location: Dubai UAE (Client Site)

Salary: AED 14000 AED 17000 / month

Benefits: Work visa air tickets medical insurance gratuity paid time off

Experience: 58 years of relevant experience

Were hiring a Senior Technical Engineer (Data Science / Machine Learning) to build and test AI and machine-learning proofs of concept scoped to real business requirements. The role rapidly prototypes models and agentic AI workflows runs experiments to validate business hypotheses and turns results into clear go/no-go recommendations. Work spans generative AI agentic AI and applied machine learning with a focus on experimentation and fast iteration in a sandbox environment rather than production delivery.

Key Responsibilities

• Build and test AI and machine-learning proofs of concept scoped to real business requirements and hypotheses.

• Rapidly prototype models and agentic AI workflows iterating quickly in a sandbox environment.

• Design and run experiments to validate business hypotheses and measure feasibility accuracy and performance.

• Apply generative AI and LLMs including prompt engineering and retrieval patterns to candidate use cases.

• Perform data wrangling and feature engineering across structured and unstructured data sources.

• Evaluate models and workflows against clear metrics documenting findings limitations and trade-offs.

• Turn POC results into clear go/no-go recommendations and hand-off notes for stakeholders.

Required Technical Skills

• Strong Python for data science with hands-on machine learning and deep learning.

• Practical experience with generative AI and LLMs agentic AI frameworks and prompt engineering.

• Data wrangling and feature engineering plus solid SQL across relational data.

• Model evaluation and experimentation grounded in applied statistics.

• Basic MLOps for experiment tracking versioning and reproducibility.

Candidate Profile

• 58 years in data science / machine-learning roles with a track record of taking ideas to working POCs.

• Comfortable with ambiguity and fast iteration; biased toward experiments that produce clear answers.

• Strong communicator able to explain methods results and go/no-go calls to non-technical stakeholders.