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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

Team up with multidisciplinary groups spanning product, analytics, and engineering to design and improve a shopping assistant chatbot
Shape and fine-tune prompt engineering approaches to raise the quality of chatbot conversations
Build LLM-driven agents that interface with APIs, databases, and external services via function calling
Protect chatbot dependability and reduce hallucinations by applying rigorous model evaluation methods
Use A/B testing frameworks to assess and progressively elevate chatbot performance
Embed Responsible AI and compliance principles to ensure ethical operation and regulatory conformity
Carry out exploratory data analysis (EDA) to surface insights and convert them into well-defined requirements for the data engineering team
Advise cloud engineering teams on the infrastructure requirements essential to AI-powered chatbot deployments

Requirements

No less than 5 years of hands-on professional experience in data science or applied AI positions
At least 1 year of experience guiding and managing development teams
Strong command of Large Language Models, including practical work with OpenAI APIs on Azure
Advanced Python programming abilities for integrating, orchestrating, and refining AI workflows
Track record of building AI agents that use function calling to engage with external tools and databases
Solid grasp of hallucination prevention methods to preserve chatbot precision and dependability
Firm understanding of Responsible AI and compliance best practices, along with ethical AI standards
Demonstrated experience in Natural Language Processing (NLP) and Conversational AI creation
Confident English communication skills at B2 level or above, in both writing and speech

Nice to have

Practical background in A/B testing and experimentation, working closely alongside analytics teams
Skill in defining and executing a testing strategy grounded in key performance indicators specific to chatbot solutions
Proficiency in exploratory data analysis (EDA) for drawing valuable insights from sizable datasets
Aptitude for producing clear, structured data specifications for the data engineering team
Familiarity with cloud services, whether through direct hands-on work or by outlining 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

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