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
Partner with cross-functional teams across product, analytics, and engineering to build and enhance a shopping assistant chatbot
Develop and refine prompt engineering strategies to elevate the quality of chatbot interactions
Implement LLM-based agents that connect with APIs, databases, and external tools through function calling
Safeguard chatbot reliability and prevent hallucinations by applying model evaluation techniques
Leverage A/B testing frameworks to measure and continuously improve chatbot performance
Apply Responsible AI and compliance principles to guarantee ethical practices and regulatory alignment
Perform exploratory data analysis (EDA) to uncover insights and translate them into structured requirements for the data engineering team
Guide cloud engineering teams on the infrastructure needs required for AI-powered chatbot solutions
Requirements
At least 3 years of professional relevant experience in data science or applied AI roles
Expertise in Large Language Models, including practical use of OpenAI APIs on Azure
Strong Python programming skills for integrating, orchestrating, and optimizing AI workflows
Experience developing AI agents leveraging function calling to interact with external tools and databases
Solid knowledge of hallucination prevention techniques to maintain chatbot accuracy and reliability
Strong understanding of Responsible AI and compliance best practices, including ethical AI guidelines
Proven background in Natural Language Processing (NLP) and Conversational AI development
Fluent English communication skills at a B2 level or higher, both written and verbal
Nice to have
Hands-on experience with A/B testing and experimentation, collaborating closely with analytics teams
Ability to define and implement a testing strategy using key performance metrics tailored to chatbot solutions
Proficiency in exploratory data analysis (EDA) to extract meaningful insights from large datasets
Capability to define clear and structured data requirements for the data engineering team
Understanding of cloud services, either through direct hands-on experience or the ability to specify infrastructure 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
