We are looking for a Lead Data Scientist with deep knowledge of Large Language Models (LLMs) and Python to create AI-driven chatbot solutions for targeted use cases.
The ideal candidate brings a solid foundation in Natural Language Processing (NLP) and Conversational AI, along with hands-on experience in hallucination mitigation, Responsible AI and compliance, and data analytics.
Responsibilities
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Team up with multidisciplinary groups spanning product, analytics, and engineering to design and improve a shopping assistant chatbot
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Shape and fine-tune prompt engineering approaches to raise the quality of chatbot conversations
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Build LLM-driven agents that interface with APIs, databases, and external services via function calling
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Protect chatbot dependability and reduce hallucinations by applying rigorous model evaluation methods
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Use A/B testing frameworks to assess and progressively elevate chatbot performance
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Embed Responsible AI and compliance principles to ensure ethical operation and regulatory conformity
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Carry out exploratory data analysis (EDA) to surface insights and convert them into well-defined requirements for the data engineering team
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Advise cloud engineering teams on the infrastructure requirements essential to AI-powered chatbot deployments
Requirements
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No less than 5 years of hands-on professional experience in data science or applied AI positions
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At least 1 year of experience guiding and managing development teams
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Strong command of Large Language Models, including practical work with OpenAI APIs on Azure
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Advanced Python programming abilities for integrating, orchestrating, and refining AI workflows
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Track record of building AI agents that use function calling to engage with external tools and databases
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Solid grasp of hallucination prevention methods to preserve chatbot precision and dependability
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Firm understanding of Responsible AI and compliance best practices, along with ethical AI standards
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Demonstrated experience in Natural Language Processing (NLP) and Conversational AI creation
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Confident English communication skills at B2 level or above, in both writing and speech
Nice to have
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Practical background in A/B testing and experimentation, working closely alongside analytics teams
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Skill in defining and executing a testing strategy grounded in key performance indicators specific to chatbot solutions
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Proficiency in exploratory data analysis (EDA) for drawing valuable insights from sizable datasets
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Aptitude for producing clear, structured data specifications for the data engineering team
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Familiarity with cloud services, whether through direct hands-on work or by outlining 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
