AI Engineer Data Scientist

What you'll work on

• Design, implement and maintain scalable NLP and GenAI pipelines including data processing, preprocessing and evaluation
• Conduct advanced data analysis on real-world datasets to extract actionable insights and support decision-making
• Stay current with the latest research in LLMs and NLP, proposing new ideas and methodologies to unlock business value
• Develop and optimize RAG systems and retrieval pipelines including chunking, embedding, re-ranking and evaluation
• Lead and contribute to experiments by designing experimental details, writing reusable code, running evaluations and organizing results
• Collaborate with cross-functional teams to prioritize research that directly benefits key internal use cases and products
• Work closely with stakeholders, project managers and architects to gather requirements, plan project scopes and deliver projects on time

What we're looking for

• MSc with 5+ years of experience or Ph.D. in computer science, electrical engineering or a related technical field
• Deep understanding of NLP, LLMs, transformer architectures, prompt engineering, RAG and evaluation methodologies
• Strong Python programming skills for developing and debugging AI models
• Hands-on experience building and evaluating RAG and GenAI systems in production-like environments
• Experience training, fine-tuning or experimenting with foundation models
• Track record of contributions to publications or open-source projects
• Excellent communication skills and a collaborative mindset
• Experience mentoring or collaborating with other researchers
• Strong interest in cross-disciplinary collaboration to support impactful research
• Ability to work effectively across teams and deliver projects within agreed timelines

We offer

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program
• All benefits and perks are subject to certain eligibility requirements