We are seeking a Senior Data Scientist with expertise in Large Language Models (LLMs) and Python to develop AI-powered chatbot solutions for specialized use cases.
The ideal candidate has a strong background in Natural Language Processing (NLP) and Conversational AI, with experience in hallucination prevention, Responsible AI & compliance, and data analysis.
Responsibilities
-
Collaborate with cross-functional teams across product, analytics, and engineering to build and optimize a shopping assistant chatbot
-
Develop and refine prompt engineering strategies to improve chatbot interactions
-
Implement LLM-based agents that integrate with APIs, databases, and external tools through function calling
-
Ensure chatbot reliability and hallucination prevention by applying model evaluation techniques
-
Work with A/B testing frameworks to evaluate and continuously improve chatbot performance
-
Apply Responsible AI and compliance principles to guarantee ethical and regulatory adherence
-
Conduct exploratory data analysis to derive insights and create structured requirements for the data engineering team
-
Guide cloud engineering teams on the infrastructure needs for AI-powered chatbot solutions
Requirements
-
At least 3 years of professional relevant experience in data science
-
Expertise in LLMs, including working with OpenAI APIs on Azure
-
Strong Python skills for integrating and optimizing AI workflows
-
Experience developing AI agents using function calling to interact with external tools and databases
-
Knowledge of hallucination prevention techniques to ensure chatbot accuracy and reliability
-
Solid understanding of Responsible AI and compliance best practices, including ethical AI guidelines
-
Background in Natural Language Processing (NLP) and Conversational AI development
-
English at B2 level or higher, with strong written and verbal communication skills
Nice to have
-
Experience with A/B testing and experimentation, working closely with analytics teams
-
Ability to define and implement a testing strategy using key performance metrics for chatbots
-
Proficiency in exploratory data analysis (EDA) for uncovering insights from data
-
Ability to define and communicate data requirements for the data engineering team
-
Understanding of cloud services, either through hands-on experience or the ability to specify requirements for cloud engineering teams
We offer
-
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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
