Quantitative Developer jobs in United Arab Emirates
AI/ML Engineer |Core AI Developer
Talent Bridge HR Consultancy Dubai
Data Insights Analyst (Elasticsearch & Kibana)
Splash Software
Discover more opportunities than anywhere else. Find more jobs nowOracle EBS Technical Consultant (Dubai)
Naffco
Senior Data Engineer - AI-Accelerated Data Architecture & Platforms
Whiteshield
Quantitative Researchers & Developers
Abu Dhabi Investment Authority (ADIA)
Connect with headhunters to apply for similar jobsCOMPUTER VISION ENGINEER (LLM & AI Integration)
Duncan & Ross
Senior Big Data Engineer - AI/ML Data Pipelines & Cloud
Apt Resources
Vision-Language AI Engineer for Multimodal Systems
Duncan & Ross
On-Prem AI Infra Engineer | Kubernetes & GitOps
MBR Partners
Senior Data Engineer - AI-Accelerated Data Architecture & Platforms
Whiteshield
Quantitative Researcher & Developer - Data Science
Abu Dhabi Investment Authority (ADIA)
Senior Protocol Engineer (Distributed Systems, Blockchain Cryptography)
TechBiz Global GmbH
AI ML Engineer Vacancy with ADNOC in Abu Dhabi 2025 | Apply Online
Newspaper WordPress
AI/ML Engineer: Drive Smart Energy in Abu Dhabi
Newspaper WordPress
Data Analyst: Insights & Metrics Specialist
Avanta Works
AI/ML Engineer |Core AI Developer
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
Education
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.
- 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 (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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.