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 looking for a skilled Data Scientist to join our team.
Within the Kaggle team, the Data Scientist will hold a crucial position, overseeing the publication and upkeep of machine learning models.

• Publish machine learning and LLM models on Kaggle models through APIs/Manual
• Develop educational content like step-by-step tutorials and interactive notebooks that facilitate the understanding and application of machine learning models
• Collaborate on metrics and streamline the model publishing process
• Continuously stay informed about the latest models emerging in the field
• Evaluate and select models for publication based on their performance, usability, and potential impact
• Work with internal and external stakeholders to gather feedback and improve the model publishing process

• 3+ years of experience in data science and machine learning
• Bachelor's degree in Computer Science, Data Science, or a related field
• Strong proficiency in Python and various machine learning frameworks such as Keras, PyTorch, Transformers, etc.
• Solid understanding and experience working with natural language processing, computer vision and large language models.
• Excellent communication and teamwork skills
• Ability to work independently and as part of a team
• B2+ English level

• Prior experience in utilizing Kaggle platform, whether it be for engaging in competitions, exploring 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.)