AI/ML Engineer |Core AI Developer

Talent Bridge HR Consultancy Dubai; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading HR consultancy in Dubai is seeking an AI Engineer to design and optimize AI systems that improve healthcare. The role involves training and fine-tuning models, building ETL pipelines, and implementing MLOps practices. Candidates should be proficient in Python and have experience with frameworks like TensorFlow or PyTorch. This position provides an opportunity to impact healthcare through advanced AI technologies.

Qualifications

• Expertise in Python is essential.
• Familiarity with machine learning libraries like TensorFlow and PyTorch is necessary.
• Solid understanding of statistics including hypothesis testing and regression.

Responsibilities

• Design, train, fine-tune, and evaluate models for production use cases.
• Build reproducible data/ETL pipelines and experiment tracking.
• Implement MLOps best practices for model versioning and monitoring.
• Run benchmarking and A/B tests with error analysis.
• Create internal tools for inference evaluation and prompt engineering.
• Deploy models via REST APIs and optimize for performance.

Skills

Python

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)

Education

Relevant degree or equivalent practical experience

Tools

C/Java

Unreal Engine exposure

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.