Skills

Communication Python Data Analysis Decision-making Research Training Coaching Programming python programming Large Language Models Natural Language Processing NLP

Job Specifications

Are you passionate about Natural Language Processing and Generative AI? Do you enjoy collaborating with both technical and business teams to turn innovative ideas into impactful solutions? Can you communicate complex concepts clearly and drive research that delivers real business value? If so, we have an exciting opportunity for an AI Engineer/Data Scientist to join EPAM’s AI Consulting team, focusing on cutting-edge R&D in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and domain-specific GenAI applications.

If you’re ready to push the boundaries of NLP and GenAI and want to make a tangible impact, we’d love to hear from you!

Responsibilities

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

Requirements

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

About the Company

Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greate... Know more