We are seeking an experienced Senior Data Scientist to take a leading role in building generative AI solutions for a wide range of industries and business challenges.

In this position, you will leverage your machine learning background to address complex problems for EPAM’s clients, applying the latest AI and data science techniques to diverse data types including text, images, and video. You will partner with cross-functional teams of engineers, scientists, and product experts, helping to transform generative AI concepts into impactful, real-world applications.

Responsibilities

• Lead the identification of promising business cases where generative AI can deliver significant value
• Design, implement, and iterate on innovative generative AI models and solutions
• Evaluate the effectiveness and business impact of generative AI systems in practical settings
• Stay current with scientific advancements and integrate relevant research into project strategies
• Build and validate generative AI applications tailored to client requirements
• Work closely with ML engineers throughout the solution lifecycle, from ideation to deployment
• Collaborate with product managers and business stakeholders to define priorities and use cases for generative AI
• Communicate project outcomes to stakeholders, translating technical results into business insights

Requirements

• Three or more years of experience in Data Science, specializing in generative model development such as LLMs, GANs, VAEs, or Diffusion models
• Background in computer vision and NLP, with hands-on work involving multimodal data like images, text, and audio
• Direct experience with OpenAI GPT-x and expertise in model fine-tuning
• Ability to produce clean, maintainable, and production-grade code using best practices
• Advanced proficiency in Python
• Skilled in at least one deep learning framework, for example PyTorch or TensorFlow
• Experience in optimizing and deploying deep learning models for real-world use
• Familiarity with at least one major cloud platform, such as AWS, Azure, or GCP
• Excellent written and verbal communication skills
• English language skills at B2+ level or higher

Nice to have

• Knowledge of additional generative AI frameworks and the latest industry trends
• Experience with reinforcement learning and self-supervised learning methods
• Understanding of MLOps tools and best practices for deploying and managing AI models

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn