Senior Data Scientist (Kaggle, MLE) Gurgaon, 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 actively seeking a Senior Data Scientist to become an integral member of our Kaggle team, focusing on leading the publication and ongoing management of machine learning and large language models (LLM).
The preferred candidate will possess a solid foundation in data science and machine learning, coupled with practical experience in handling 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 including step-by-step guides and interactive notebooks
- Work collaboratively on metrics to improve the model publishing process
- Keep abreast of recent developments in machine learning models
- Assess and choose models for publication based on their performance and impact
- Liaise with internal and external stakeholders to enhance the publishing process
- Track and optimize the performance of published models to align with user requirements
- Guide junior data scientists and head project teams
Requirements
- Bachelor’s degree in Computer Science, Data Science, or a related field
- Over 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
- Independent and collaborative work capabilities
- Strong passion for data science with a focus on ongoing learning and development
- Track record of successful machine learning model deployment
- Understanding of API development and model deployment
- Experience with managing large datasets and computational resources
- Capability to document and clarify complex models for non-expert stakeholders
- Experience in managing project timelines and deliverables
Nice to have
- Prior experience with Kaggle for competitions, dataset exploration, or model engagement
- Exceptional analytical and problem-solving abilities
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.)
