We are looking for a Lead Data Scientist with expertise in Large Language Models (LLMs) and Python to create cutting-edge AI chatbot solutions designed for specialized applications.

The ideal candidate should have a strong background in Natural Language Processing (NLP), Conversational AI, and Responsible AI techniques, emphasizing hallucination prevention and advanced data analytics.

Responsibilities

• Collaborate with product, analytics, and engineering teams to design advanced chatbot solutions
• Define prompt engineering strategies to improve the quality and engagement of chatbot conversations
• Develop and deploy LLM-powered agents capable of integrating external tools, APIs, and databases using function calling
• Ensure chatbot response accuracy and dependability through rigorous evaluation and hallucination prevention methods
• Drive A/B testing initiatives and optimization approaches with analytics teams
• Apply Responsible AI principles to ensure ethical and regulatory compliance with chatbot implementations
• Perform exploratory data analysis (EDA) to generate insights and inform structured data requirements for the engineering teams
• Advise cloud engineering teams on building scalable infrastructure for AI solutions
  
  
  

Requirements

• At least 5 years of experience in AI and ML development, focusing on conversational systems
• Expertise in LLMs, with significant implementation experience using OpenAI APIs in Azure environments
• Solid skills in Python to optimize AI workflows
• Knowledge of Responsible AI techniques and hallucination prevention methods
• Background in Natural Language Processing (NLP) and Conversational AI framework design
• Familiarity with A/B testing, experimentation approaches, and metrics for evaluating AI systems
• Capability to define testing and data requirements while collaborating across teams
• Understanding of cloud platforms and infrastructure considerations
  
  
  

Nice to have

• Competency in conducting exploratory data analysis (EDA) to refine chatbot accuracy
• Skills in drafting technical requirements for data engineering teams
• Proficiency in navigating cloud engineering workflows for infrastructure scalability
  
  
  

Technologies

• LLMs: OpenAI APIs on Azure
• Languages: Python
• Key Tools & Methods: Function Calling, Prompt Engineering, Hallucination Prevention, Responsible AI & Compliance, A/B Testing, Data Analysis
  
  
  

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