AI Scientist

Michael Page; Abu Dhabi; On-site; AED 350,000 - 550,000; Full time

Benefits offered by this job

Competitive pay

Comprehensive benefits

Career growth

Job summary

Michael Page is seeking a highly skilled AI researcher to train, fine-tune and optimise AI models for cutting-edge financial technology solutions. You will build high-quality datasets from real-world interactions and design robust training and inference frameworks using PyTorch, TensorFlow and Hugging Face.

The role involves adapting pipelines for evolving AI products, researching state-of-the-art techniques, and contributing to next-generation LLM projects within a collaborative,

Qualifications

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related discipline.
• Strong understanding of model architectures, training methodologies and inference frameworks.
• Hands-on experience with large language models and open-source ecosystems including DeepSeek, Gemma or similar technologies.

Responsibilities

• Train, fine-tune and optimise AI models to improve performance, efficiency and scalability.
• Build high-quality datasets from user interactions, business use cases and real-world applications.
• Design and enhance model training and inference frameworks using leading open-source technologies.
• Adapt and improve existing training pipelines to support evolving AI products and platforms.
• Research emerging AI techniques and contribute to next-generation LLM solutions.

Skills

Fine-tune models

LLM

Education

Master's or PhD in CS/AI/ML

Tools

PyTorch

TensorFlow

Hugging Face

LLaMA Factory

VERL

Job description

Client Details

A highly innovative financial services organisation investing in advanced technology and AI-driven solutions to solve complex real-world challenges.

Description

• Train, fine-tune and optimise AI models to improve performance, efficiency and scalability.
• Build high-quality datasets from user interactions, business use cases and real-world applications.
• Design and enhance model training and inference frameworks using leading open-source technologies.
• Adapt and improve existing training pipelines to support evolving AI products and platforms.
• Research emerging AI techniques and contribute to the advancement of next-generation LLM solutions.

Profile

• Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning or a related discipline.
• Strong understanding of model architectures, training methodologies and inference frameworks.
• Hands-on experience with large language models and open-source ecosystems, including DeepSeek, Gemma or similar technologies.
• Knowledge of training frameworks such as LLaMA Factory, VERL, PyTorch, TensorFlow or Hugging Face.
• Proven ability to modify, optimise and deploy AI training pipelines in production environments.

Job Offer

• Opportunity to work on leading-edge AI research and development initiatives.
• Collaborative environment with access to advanced technologies and highly skilled teams.
• Competitive compensation package, comprehensive benefits and excellent long-term career growth opportunities.

Skills

• fine-tune, training, model.
• LLM