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Data Scientist (Kaggle, MLE) Pune, India

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Data Scientist (Kaggle, MLE) Description

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.


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Responsibilities

  • 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

Requirements

  • 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

Nice to have

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

We offer

  • 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.)

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