AI/ML Engineer |Core AI Developer

Talent Bridge HR Consultancy Dubai; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

A leading HR consultancy in Dubai seeks an AI Engineer to design, build, and optimize AI systems for healthcare. The role involves fine-tuning models, implementing MLOps, and creating internal tools. Ideal candidates are proficient in Python and machine learning libraries, with strong analytical skills and an educational background in a relevant field.

Responsibilities

• Design, train, fine-tune, and evaluate models for production use cases.
• Build reproducible data pipelines and experiment tracking.
• Implement MLOps best practices.
• Run benchmarking A/B tests and document findings.
• Create internal tools for inference evaluation.
• Deploy via REST APIs and optimize for performance.
• Communicate results to stakeholders.

Skills

Python

TensorFlow/PyTorch

Hugging Face

Pandas/NumPy/Scikit-learn

ETL

visualization (Matplotlib/Plotly/Tableau/Power BI)

NLP & GenAI

statistics (hypothesis testing regression)

Education

Relevant degree or equivalent practical experience

Job description

Role Summary

Design build and fine-tune AI systems that power real healthcare impact. Success looks like shipping reliable models to production improving accuracy/latency/cost and running reproducible experiments. This role sits within the core AI team and partners with product data and engineering to turn research into scalable products.

Responsibilities

• Design train fine-tune and evaluate models (LLMs embeddings) for production use cases.
• Build reproducible data/ETL pipelines and experiment tracking.
• Implement MLOps best practices (versioning CI/CD for models monitoring rollback).
• Run benchmarking A/B tests error analysis; document findings and decisions.
• Create internal tools/SDKs for inference evaluation and prompt engineering.
• Deploy via REST APIs and optimize for performance and cost.
• Communicate results to technical and non-technical stakeholders.

Qualifications

• Skills: Python (essential); TensorFlow/PyTorch; Hugging Face; Pandas/NumPy/Scikit-learn; ETL; visualization (Matplotlib/Plotly/Tableau/Power BI); NLP & GenAI (LLM fine-tuning embeddings prompt engineering); statistics (hypothesis testing regression).
• Nice to have: C/Java; publications or patents; Unreal Engine exposure.
• Environment: Solid Linux background for development and deployment.
• Education/Experience: Relevant degree or equivalent practical experience.