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Kitchener, ON N2G 1B9
Canada
Senior Data Scientist (Kaggle, MLE) Bangalore, India
Senior 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 a Senior Data Scientist to join our Kaggle team, where they will play a pivotal role in overseeing the publication and maintenance of machine learning and large language models (LLM).
The ideal candidate will have a strong background in data science and machine learning and experience with large language models.
If you are interested in this opportunity – apply!
#LI-DNI
Responsibilities
- Publish machine learning and LLM models on Kaggle through APIs/manual methods
- Develop educational content such as step-by-step tutorials and interactive notebooks
- Collaborate on metrics and enhance the model publishing process
- Stay updated with the latest advancements in machine learning models
- Evaluate and select models for publication based on performance and impact
- Engage with both internal and external stakeholders to refine the publishing process
- Monitor and adjust the performance of published models to meet user needs
- Mentor junior data scientists and lead project teams
Requirements
- Bachelor’s degree in Computer Science, Data Science, or related field
- 5+ years of experience in data science and machine learning
- Proficiency in Python and machine learning frameworks like Keras, PyTorch, and Transformers
- Experience with natural language processing, computer vision, and large language models
- Strong communication and teamwork skills
- Ability to work independently and collaboratively
- Passionate about data science with a keen interest in continuous learning and development
- Proven track record of successfully deploying machine learning models
- Familiarity with API development and model deployment
- Experience in handling large datasets and computational resources
- Ability to document and explain complex models to non-expert stakeholders
- Experience in developing and maintaining project timelines and deliverables
Nice to have
- Previous experience using Kaggle for competitions, dataset exploration, or model engagement
- Exceptional 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.)
