Senior Data Scientist

EPAM Systems Inc; Hyderabad; Hybrid; INR 2,800,000 - 4,200,000; Full time

Job summary

EPAM Systems Inc is seeking a Senior Data Scientist with strong NLP and GenAI expertise for a Hyderabad-based hybrid role. The candidate should have 4.6 to 10 years of experience and be able to contribute to AI-driven conversational systems. Joining time is 60 days max.

The role emphasizes building testing frameworks for LLMs, data preparation for model training, and collaboration with stakeholders to drive innovative AI solutions.

Qualifications

• Proven NLP expertise and experience with Large Language Models (LLMs).
• Experience evaluating translation quality and GenAI solutions.
• Strong problem-solving and innovative mindset for complex challenges.
• Excellent communication and collaboration across teams and stakeholders.

Responsibilities

• Prepare datasets for classifier model training following best practices.
• Lead data-centered optimization for AI-assisted conversations.
• Build frameworks to test and compare LLMs and new AI approaches.
• Collaborate with stakeholders in a team-oriented environment.

Skills

NLP expertise

GenAI

LLMs

Problem solving

Communication

Job description

Dear Candidate,

Greetings!! We have openings for Senior Data Scientist in EPAM Systems Bangalore location.

Experience :- 4.6 to 10 Years

Job Location :- Hyderabad

Mode :- Hybrid

Joining time :- 60 Days Max.

Candidate's requirements:

• Expected to deliver the necessary proof points for tests and validation, while also proactively suggesting efficient methodologies.
• Create frameworks to prove that the solution works and is convincing for us, also be able to create a framework for testing new LLMs and compare across, especially when we have a chance to use something newer, cheaper and better. Key deliverables should include:
• Preparation of datasets for classification model training, adhering to best practices.
• Leading data-centered optimization for AI-assisted conversations.
• Proven expertise in Natural Language Processing (NLP) and experience in evaluating translation quality.
• Strong foundational knowledge and hands-on experience with Large Language Models (LLMs) and General AI (GenAI).
• Excellent problem-solving skills with an innovative mindset to approach complex challenges.
• Strong communication and collaboration skills for working in a team-oriented environment and interfacing with stakeholders.