EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced Data Scientist to become an integral part of our team.
As a member of the Kaggle team, the Data Scientist will play a pivotal role in managing the release and maintenance of machine learning models.

• Publish machine learning and LLM models on Kaggle through APIs/Manual
• Create educational materials such as detailed tutorials and interactive notebooks to aid in the understanding and use of machine learning models
• Work collaboratively on metrics and enhance the model publishing workflow
• Keep up-to-date with the latest developments in machine learning models
• Assess and choose models for publication considering their performance, applicability, and potential influence
• Engage with both internal and external stakeholders to collect feedback and refine the model publishing process

• Minimum of 3 years' experience in data science and machine learning
• Bachelor's degree in Computer Science, Data Science, or a similar discipline
• High level of proficiency in Python and various machine learning frameworks like Keras, PyTorch, Transformers
• Deep understanding and practical experience in natural language processing, computer vision, and large language models
• Outstanding communication and collaboration skills
• Capability to work both independently and as part of a team
• B2+ proficiency in English

• Previous involvement with the Kaggle platform, including participation in competitions, exploration of datasets, notebooks, or models

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)