Location: Abu Dhabi, UAE

Our client is a leading artificial intelligence organisation focused on building secure, enterprise-grade AI solutions that help businesses and governments solve complex, real-world challenges.

They specialise in developing cutting-edge applications powered by advanced AI technologies, enabling knowledge workers and organisations to unlock the full potential of large-scale data and automation.

With a strong focus on innovation, research, and responsible AI development, the company is dedicated to delivering impactful solutions across multiple sectors.

As a Senior Machine Learning Engineer, you will play a key role in designing, developing, and deploying machine learning systems that power next-generation AI products.

You will work closely with cross-functional teams to translate business requirements into scalable, production-grade AI solutions, particularly in the area of Generative AI and LLM-based systems.

Key Responsibilities

• Model Development: Build, train, and deploy machine learning models to support advanced AI applications
• Generative AI: Work with cutting-edge technologies including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
• System Design: Translate business use cases into scalable ML and AI solutions
• Model Optimisation: Monitor performance, evaluate outputs, and continuously improve models in production
• Data Pipelines: Design and maintain robust data pipelines to ensure high-quality inputs for ML models
• Collaboration: Partner with engineering, product, and business teams to deliver impactful solutions

• 5+ years’ experience in Machine Learning, Data Science, or related fields

  
  
  

• Strong experience working with LLMs and fine-tuning techniques

  
  
  

• Proficiency in Python (or similar programming languages)

  
  
  

• Hands-on experience with ML frameworks such as:

  
  
  
  • PyTorch
  • TensorFlow
  • scikit-learn

• Experience with Generative AI tools and frameworks, such as:

  
  
  
  • LangChain
  • LlamaIndex
  • LangGraph
  • Vector databases (e.g. Weaviate)

• Proven track record of building production ML systems and solving real-world problems

  
  
  

• Experience designing data pipelines and ML infrastructure

  
  
  
• Strong communication skills and ability to work across teams
• Master’s or PhD in Computer Science, AI, Data Science, Statistics, or related field (preferred)