Staff Machine Learning Engineer - Hybrid UAE, Production LLMs

GCS; Abu Dhabi; Hybrid; AED 250,000 - 420,000; Full time

Job summary

GCS in Abu Dhabi is seeking an experienced ML engineer to develop, train and deploy LLM-powered models powering live AI products. You will work with state-of-the-art techniques and build end-to-end applications from model to API, contributing to real-world business solutions.

Ideal candidates have 5+ years in production ML, strong Python, and hands-on experience with LLMs, RAG, and vector databases. The role offers hybrid working in Abu Dhabi and fast onboarding.

Qualifications

• 5+ years of production ML/AI engineering experience.
• Proficiency in Python and deploying LLM-powered apps with REST APIs.
• Hands-on experience with LLMs, RAG, LoRA/QLoRA, and vector databases.

Responsibilities

• Develop, train and deploy ML models for live AI products.
• Build end-to-end LLM-powered applications from model to API.
• Optimize models based on production metrics.
• Define robust data pipelines for high-quality inputs.
• Collaborate with cross-functional teams to solve business challenges.

Skills

Python

LLM deployment

MLOps

REST APIs

PyTorch

TensorFlow

Tools

LangChain

LangGraph

LlamaIndex

Pinecone

Weaviate

pgvector

FastAPI

Flask

Job description

GCS in Abu Dhabi is seeking an experienced ML engineer to develop, train and deploy LLM-powered models powering live AI products. You will work with state-of-the-art techniques and build end-to-end applications from model to API, contributing to real-world business solutions.

Ideal candidates have 5+ years in production ML, strong Python, and hands-on experience with LLMs, RAG, and vector databases. The role offers hybrid working in Abu Dhabi and fast onboarding.