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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 looking for a 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. The ideal applicant will possess a robust background in data science, machine learning, and large language models.


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Responsibilities

  • 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
  • Monitor the performance of published models and make necessary adjustments to ensure they continue to meet the needs of users

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field
  • 3+ years of experience in data science and machine learning
  • 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
  • Passion for data science and a desire to learn and grow
  • B2+ English level proficiency

Nice to have

  • Prior experience in utilizing Kaggle platform, whether it be for engaging in competitions, exploring datasets, notebooks or models
  • Excellent problem-solving and analytical skills

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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