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 seeks an AI Systems Engineer to design and optimize AI models for healthcare applications. This role involves collaborating with product, data, and engineering teams to develop and implement MLOps best practices. Candidates should have strong skills in Python, TensorFlow, and data pipeline construction, alongside a relevant degree or practical experience. This is a vital role that requires excellent communication skills to convey technical details effectively to various stakeholders.

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.

Skills

Python

TensorFlow

PyTorch

Hugging Face

Pandas

NumPy

Scikit-learn

ETL

Matplotlib

Plotly

Tableau

Power BI

NLP

GenAI

Statistics

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.