Senior Machine Learning Engineer
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Key skills for this role
About the Role
GCS is hiring a Senior Machine Learning Engineer for a remote contract role with a leading AI company in the UAE. You will develop, deploy, and optimize ML and LLM-powered models for production AI products.
Key Skills for This Role
Responsibilities
- 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
Requirements
- 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, TensorFlow, scikit learn) and orchestration libraries (LangChain, LangGraph, LlamaIndex)
- Comfortable with SQL/NoSQL and vector databases (Pinecone, Weaviate, pgvector) for semantic search
Full Job Posting
About the opportunity
- 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.
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
What we're looking for
- 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, TensorFlow, scikit learn) and orchestration libraries (LangChain, LangGraph, LlamaIndex)
- Comfortable with SQL/NoSQL and vector databases (Pinecone, Weaviate, pgvector) for semantic search
- A track record of applying ML to real, business critical problems
Background we love
- A competitive coding background (Kaggle, ACM/ICPC, IOI, TopCoder), 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
The setup
- Fully remote, work from where you are
- Contract based, senior level
- Competitive rates
- Moving fast, onboarding in the coming weeks
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