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Data Scientist (Kaggle, MLE)

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Data Science, Python, Machine Learning Engineering, Large Language Models, Natural Language Processing, Deep Learning
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Hyderabad, Bangalore, Pune, Gurgaon, Chennai

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.

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