Machine Learning Engineer
Job Description & How to Apply Below
We're partnered with a leading AI company in the UAE building agentic AI products at scale, with access to world-leading models and resources.
This is a hands-on engineering role at the core of their production AI systems. You'll develop, deploy and optimise the ML and LLM-powered models that power live products used across critical sectors. Real production work, not demos or sandboxes.
What you'll do- Develop, train and deploy ML models and LLM-powered systems that power live AI products
- Work with state-of-the-art techniques, LLMs, RAG, and parameter-efficient fine-tuning, in real business contexts
- Build and ship LLM-powered applications end-to-end, from model to deployed API
- Partner with cross-functional teams to translate business challenges into production AI
- Continuously monitor, evaluate and optimise models against real-world performance
- Implement and manage robust data pipelines for high-quality, reliable input
- 5+ years in ML or AI engineering with real production experience
- Strong Python, with hands-on experience building and deploying LLM-powered applications (FastAPI/Flask, REST, websockets)
- Proven work with LLMs and parameter-efficient fine-tuning (LoRA, QLoRA), RAG, and agentic systems
- Experience with modern ML frameworks (PyTorch, Tensor Flow, scikit-learn) and orchestration libraries (Lang Chain, Lang Graph, Llama Index)
- Comfortable with SQL/No
SQL and vector databases (Pinecone, Weaviate, pgvector) for semantic search - A track record of applying ML to real, business-critical problems
A competitive-coding background (Kaggle, ACM/ICPC, IOI, Top Coder), a strong technical degree, or experience shipping LLM products at a serious AI company.
How the team works- Elite environment of ex-FAANG and frontier-lab engineers
- What matters is what you ship, not the hours you spend
- Low ego, high standards. The best idea wins, whoever it comes from
- Minimal bureaucracy, you talk to whoever you need to talk to
- Abu Dhabi, hybrid working
- Contract-based, Staff level
- Competitive rates
- Moving fast, onboarding in the coming weeks
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