Senior Machine Learning Engineer (MLOps & LLMs)

selected recruitment โ€ข United Arab Emirates
Relocation
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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) โ€” 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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