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JOB TITLE
AI Engineer | Emirati Talent | Majid Al Futtaim Holding
Role Summary
The AI Engineer is responsible for designing, building, deploying, and operating enterprise‑grade AI and Generative AI solutions. The role focuses on taking models from experimentation to production, including LLM training and fine‑tuning, MLOps pipelines, agentic workflows, document AI (OCR), and cloud‑deployed AI applications. Strong software engineering and hands‑on production experience are essential.
ROLE PROFILE
AI Engineer | Emirati Talent | Majid Al Futtaim Holding
Role Summary
The AI Engineer is responsible for designing, building, deploying, and operating enterprise‑grade AI and Generative AI solutions. The role focuses on taking models from experimentation to production, including LLM training and fine‑tuning, MLOps pipelines, agentic workflows, document AI (OCR), and cloud‑deployed AI applications. Strong software engineering and hands‑on production experience are essential.
ROLE PROFILE
- Own end‑to‑end delivery of production AI and Generative AI solutions, from design to deployment
- Build, train and fine‑tune LLMs, including evaluation, optimization, and lifecycle management
- Develop agentic workflows and AI‑driven automation for enterprise use cases
- Deliver Document AI and OCR solutions for finance, legal, and contract processing
- Engineer scalable AI applications using strong software engineering practices and APIs
- Implement MLOps pipelines for CI/CD, monitoring, versioning, and retraining
- Deploy and manage AI solutions on cloud platforms (primarily Azure) with security and governance
- Collaborate with business and technology teams to translate real‑world problems into AI solutions
- 3+ years of hands‑on experience in AI/ML engineering, with proven exposure to production AI systems
- Demonstrated experience in training and fine‑tuning LLMs (e.g., LoRA/QLoRA/PEFT), not limited to prompt engineering
- Strong software engineering foundation, including Python, APIs, microservices, and production‑grade coding practices
- Experience delivering AI solutions to production, including deployment, monitoring, and lifecycle management (MLOps)
- Practical exposure to document AI / OCR, agentic workflows, or enterprise automation use cases
- Experience with cloud platforms (preferably Azure; AWS/GCP acceptable) and containerized deployments (Docker/Kubernetes)
- At Majid Al Futtaim, we’re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We’re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
- Work in a friendly environment, where everyone shares positive vibes and excited about our future.
- Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
Key Skills
Ranked by relevance
ai
cloud
mlops
microservices
python
cicd
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- Posted
- May 06, 2026
- Type
- Full-time
- Level
- Not Applicable
- Location
- Dubai
- Company
- Majid Al Futtaim
Industries
Retail
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Data Scientist (Askuity division)
2026-05-26
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Not Applicable
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Retail
Engineering
View Job Details
Related
Staff Software Engineer-(Android) San Antonio, Texas
2026-05-27
Full-time
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View Job Details
Related
Senior Machine Learning Engineer
2026-05-25
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