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Senior Machine Learning Engineer (MLOps & LLMs)

selected recruitment United Arab Emirates
Relocation
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Develop and deploy machine learning models, work with large language models, and partner with stakeholders to turn business challenges into ML solutions. Requires a strong background in AI, data science, and computer science. Experience with LLMs, PyTorch, TensorFlow, and SQL/NoSQL is a plus.

Key Highlights
Developing, fine-tuning, and deploying ML models
Working with LLMs and Retrieval-Augmented Generation
Partnering with stakeholders to turn business challenges into ML solutions
Key Responsibilities
Developing, fine-tuning, and deploying ML models that power live AI products
Working with LLMs and Retrieval-Augmented Generation on real business problems
Building and maintaining robust data preprocessing pipelines
Monitoring and continuously improving models against real-world performance
Partnering with stakeholders to turn business challenges into ML solutions
Technical Skills Required
Python PyTorch TensorFlow scikit-learn LangChain LangGraph LlamaIndex SQL NoSQL PostgreSQL MongoDB Redis Pinecone Weaviate pgvector
Benefits & Perks
Relocation supported for the right candidate
Genuinely interesting work with a team operating at the frontier of applied AI in the region
Nice to Have
Competitive coding background (Kaggle, ACM/ICPC, TopCoder)
Experience deploying LLM apps with FastAPI/Flask, plus Streamlit for front ends

Job Description


Senior Machine Learning Engineer (MLOps & LLMs) — Abu Dhabi or Dubai


I'm partnering with a fast-growing AI company in the UAE that's building enterprise-grade products on top of frontier large language models. They're scaling their engineering team this year and looking for a senior ML engineer who wants to take cutting-edge AI from research into real production systems.


This is a hands-on role for someone who has built and shipped LLM-powered applications, not just trained models in a notebook.


What you'll be doing:

  • Developing, fine-tuning, and deploying ML models that power live AI products
  • Working with LLMs and Retrieval-Augmented Generation (RAG) on real business problems
  • Building and maintaining robust data preprocessing pipelines
  • Monitoring and continuously improving models against real-world performance
  • Partnering with stakeholders to turn business challenges into ML solutions


What you'll bring:

  • Master's or PhD in AI, Data Science, Computer Science, Statistics or similar
  • 5+ years in ML, Data Science, RL or a related field
  • Hands-on experience with LLMs and parameter-efficient fine-tuning (LoRA, QLoRA)
  • Strong Python. Competitive coding background a plus (Kaggle, ACM/ICPC, TopCoder)
  • Experience deploying LLM apps with FastAPI/Flask, plus Streamlit for front ends
  • Solid grasp of REST, HTTP methods, websockets, API lifecycle
  • ML frameworks (PyTorch, TensorFlow, scikit-learn) and LangChain, LangGraph, LlamaIndex
  • SQL/NoSQL (PostgreSQL, MongoDB, Redis) and vector databases (Pinecone, Weaviate, pgvector)


Relocation supported for the right candidate. Genuinely interesting work with a team operating at the frontier of applied AI in the region.


If this is you, or you know someone, drop me a message or apply.


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