Senior Machine Learning Engineer (m/f/d)

Halian; Abu Dhabi; On-site; AED 300,000 - 450,000; Full time

Job summary

Halian is looking for a Senior Machine Learning Engineer in Abu Dhabi, UAE. You will design, develop, and deploy machine learning systems, particularly in Generative AI and LLM-based applications. The role involves building robust solutions that leverage AI technologies to solve real-world challenges.

The ideal candidate will have extensive experience in Machine Learning, proficiency in Python, and hands-on experience with ML frameworks like PyTorch and TensorFlow. A Master’s or PhD in a relevant field is preferred.

Qualifications

• 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.
• Experience with Generative AI tools and frameworks.

Responsibilities

• Build, train, and deploy machine learning models to support advanced AI applications.
• Work with cutting-edge technologies including LLMs and Retrieval-Augmented Generation.
• Translate business use cases into scalable ML and AI solutions.

Skills

Machine Learning

Data Science

Python

LLM fine-tuning

Collaboration

Education

Master’s or PhD in Computer Science, AI, Data Science, or related field

Tools

PyTorch

TensorFlow

scikit-learn

LangChain

LlamaIndex

LangGraph

Vector databases (e.g. Weaviate)

Job description

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

Requirements

• 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)