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 looking for a Senior Data Scientist to become an integral part of our Kaggle team, where they will be instrumental in overseeing the publication and maintenance of machine learning and large language models (LLM).
The perfect candidate will possess a robust background in data science and machine learning, along with experience in managing large language models.
If this role interests you – please apply!
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Responsibilities
- Publish machine learning and LLM models on Kaggle via APIs or manual methods
- Create educational materials such as step-by-step tutorials and interactive notebooks
- Work collaboratively on metrics and improve the model publishing process
- Keep abreast of the latest developments in machine learning models
- Assess and choose models for publication based on their performance and impact
- Interact with both internal and external stakeholders to enhance the publishing process
- Track and optimize the performance of published models to align with user needs
- Guide junior data scientists and manage project teams
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related field
- 5+ years of experience in data science and machine learning
- Proficiency in Python and machine learning frameworks such as Keras, PyTorch, and Transformers
- Background in natural language processing, computer vision, and large language models
- Strong communication and teamwork skills
- Capacity to work both independently and collaboratively
- Strong passion for data science with a dedication to continuous learning and development
- Demonstrated success in deploying machine learning models
- Familiarity with API development and model deployment
- Background in managing large datasets and computational resources
- Ability to document and communicate complex models to non-expert stakeholders
- Experience in creating and managing project timelines and deliverables
Nice to have
- Prior experience utilizing 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.)
