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.
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