Overview

We are seeking a Senior Data Scientist to help deliver and evolve machine learning solutions, including Large Language Models, while supporting flexible project needs as scope changes. You will migrate models to Azure ML and collaborate with cross-shore teams, so apply if you are ready to make impact.

Responsibilities

  • Migrate three existing models from Data IQ to Azure ML, including one LLM-based model and two classical ML models
  • Plan and execute end-to-end migration activities, including validation and rollout readiness
  • Assess current model assets and define the target approach for Azure ML deployment
  • Build and adapt LLM-based solutions to meet project needs and constraints
  • Develop and refine classical machine learning models as required by changing scope
  • Collaborate with nearshore and offshore teammates to align on deliverables and timelines
  • Communicate progress, risks, and next steps clearly to stakeholders

Requirements

  • 3+ years of experience in data science roles delivering ML solutions
  • Experience applying Large Language Models (LLM) in practical use cases
  • Senior-level ownership and accountability for end-to-end model delivery
  • Project execution skills to manage shifting priorities and evolving scope
  • Strong machine learning fundamentals across classical ML and LLM-based approaches
  • Strong problem-solving skills to identify issues and drive clear solutions
  • Upper-Intermediate English proficiency (B2, upper-intermediate)

Nice to have

  • Azure Machine Learning experience with model deployment and pipelines
  • Machine Learning Engineering skills for productionizing models and workflows

[GTS] Benefits (generic, except India)

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn