We are looking for a Senior Data Scientist with a strong track record to lead the development of generative AI solutions across a variety of industries and business needs.

In this role, you will apply your expertise in machine learning to solve complex challenges for EPAM’s clients, utilizing advanced AI and data science methods for text, images, videos, and more. You will work closely with multidisciplinary teams of engineers, researchers, and product stakeholders, playing a key part in turning generative AI ideas into practical solutions.

Responsibilities

• Drive generative AI projects by identifying valuable business opportunities for these technologies
• Create, test, and refine new generative AI models and approaches
• Assess how generative AI models perform and add value in real-world scenarios
• Review and apply insights from current scientific publications to guide technical decisions
• Develop and verify generative AI solutions that meet client needs
• Collaborate with machine learning engineers throughout the research and deployment process
• Work with product managers and business teams to define clear objectives and use cases for generative AI
• Present results to stakeholders, making technical outcomes understandable and relevant for business

Requirements

• At least 3 years of experience in Data Science, with a focus on building generative models including LLMs, GANs, VAEs, or Diffusion models
• Experience in computer vision and natural language processing, working with multimodal data such as images, text, and audio
• Practical experience with OpenAI GPT-x and model fine-tuning
• Ability to write reliable, production-ready code following best practices
• Advanced skills in Python programming
• Proficiency in at least one deep learning framework, such as PyTorch or TensorFlow
• Experience optimizing and deploying deep learning models for production
• Hands-on experience with at least one cloud platform, such as AWS, Azure, or GCP
• Strong communication skills in both written and spoken formats
• English proficiency at B2+ level or above

Nice to have

• Experience with other generative AI architectures and emerging technologies
• Understanding of reinforcement learning and self-supervised learning techniques
• Familiarity with MLOps tools and processes for deploying and monitoring 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