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
