EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
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 adecuado 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
Partner with cross-functional teams across product, analytics,
and engineering to build and enhance a shopping assistant chatbot
Develop and refine prompt engineering strategies to elevate the quality of chatbot interactions
Implement LLM-based agents that connect with APIs, databases, and external tools through function calling
Safeguard chatbot reliability and prevent hallucinations by applying model evaluation techniques
Leverage A/B testing frameworks to measure and continuously improve chatbot performance
Apply Responsible AI and compliance principles to guarantee ethical practices and regulatory alignment
Perform exploratory data analysis (EDA) to uncover insights and translate them into structured requirements for the data engineering team
Guide cloud engineering teams on the infrastructure needs required for AI-powered chatbot solutions
Requirements
At least 3 years of professional relevant experience in data science or applied AI roles
Expertise in Large Language Models, including practical use of O
📌 Senior Data Scientist (Colombia)
🏢 EPAM Systems
📍 Colombia
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