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
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Partner with cross-functional teams across product, analytics, and engineering to build and enhance a shopping assistant chatbot
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Develop and refine prompt engineering strategies to elevate the quality of chatbot interactions
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Implement LLM-based agents that connect with APIs, databases, and external tools through function calling
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Safeguard chatbot reliability and prevent hallucinations by applying model evaluation techniques
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Leverage A/B testing frameworks to measure and continuously improve chatbot performance
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Apply Responsible AI and compliance principles to guarantee ethical practices and regulatory alignment
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Perform exploratory data analysis (EDA) to uncover insights and translate them into structured requirements for the data engineering team
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Guide cloud engineering teams on the infrastructure needs required for AI-powered chatbot solutions
Requirements
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At least 3 years of professional relevant experience in data science or applied AI roles
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Expertise in Large Language Models, including practical use of OpenAI APIs on Azure
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Strong Python programming skills for integrating, orchestrating, and optimizing AI workflows
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Experience developing AI agents leveraging function calling to interact with external tools and databases
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Solid knowledge of hallucination prevention techniques to maintain chatbot accuracy and reliability
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Strong understanding of Responsible AI and compliance best practices, including ethical AI guidelines
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Proven background in Natural Language Processing (NLP) and Conversational AI development
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Fluent English communication skills at a B2 level or higher, both written and verbal
Nice to have
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Hands-on experience with A/B testing and experimentation, collaborating closely with analytics teams
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Ability to define and implement a testing strategy using key performance metrics tailored to chatbot solutions
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Proficiency in exploratory data analysis (EDA) to extract meaningful insights from large datasets
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Capability to define clear and structured data requirements for the data engineering team
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Understanding of cloud services, either through direct hands-on experience or the ability to specify infrastructure requirements for cloud engineering teams
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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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.
