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Data Scientist (Kaggle, MLE) Bangalore, India
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.
#LI-DNI
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.)
