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