Lead Data Scientist - LLMs & Conversational AI

EPAM Systems

Chile

Híbrido

CLP 9.000.000 - 15.000.000

Jornada completa

Hace 10 días

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Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certified
Unlimited LinkedIn Learning access
Global career opportunities
Volunteer and community involvement
EPAM Employee Groups
Award‑winning culture

Descripción de la vacante

EPAM Systems is seeking a Lead Data Scientist with deep knowledge of Large Language Models and Python to create AI-driven chatbot solutions for targeted use cases. The role emphasizes NLP, responsible AI, and data analytics to guide product and engineering teams in building high-quality conversational agents.

The ideal candidate will have hands-on experience with hallucination mitigation, compliance, and guiding development teams, while shaping prompt engineering and model evaluation practices

Formación

  • 5+ years of hands-on data science or applied AI experience.
  • At least 1 year of experience leading development teams.
  • Strong command of Large Language Models, including OpenAI APIs on Azure.
  • Advanced Python programming for integrating, orchestrating, and refining AI workflows.
  • Track record of building AI agents using 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.
  • Demonstrated experience in NLP and Conversational AI creation.
  • Fluent English communication at B2 level or above.

Responsabilidades

  • Collaborate with product, analytics, and engineering to design and improve a shopping assistant chatbot.
  • Shape and fine-tune prompt engineering approaches to raise chatbot quality.
  • Build LLM-driven agents that interface with APIs, databases, and external services via function calling.
  • Protect chatbot dependability by applying model evaluation methods to reduce hallucinations.
  • Use A/B testing frameworks to assess and progressively elevate chatbot performance.
  • Embed Responsible AI and compliance principles to ensure ethical operation.
  • Carry out exploratory data analysis to surface insights for the data engineering team.
  • Advise cloud engineering on infrastructure requirements for AI-powered deployments.

Conocimientos

Large Language Models
Python
NLP
Conversational AI
OpenAI APIs on Azure
Prompt engineering
Responsible AI
Compliance
Data analytics
English communication

Educación

Bachelor's or Master’s in CS/AI

Herramientas

Azure
APIs
AI tooling

Descripción del empleo

EPAM Systems is seeking a Lead Data Scientist with deep knowledge of Large Language Models and Python to create AI-driven chatbot solutions for targeted use cases. The role emphasizes NLP, responsible AI, and data analytics to guide product and engineering teams in building high-quality conversational agents.

The ideal candidate will have hands-on experience with hallucination mitigation, compliance, and guiding development teams, while shaping prompt engineering and model evaluation practices

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