• Shape next-generation AI systems using cutting-edge open-source models.
• Build, train and optimise LLM solutions at scale.

About Our Client

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

Job 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.

The Successful Applicant

• 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.

What's on 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.

Contact
Manpreet Kaur

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JN-072026-7071733