Description

Build and deploy AI-powered conversational interfaces and intelligent agents that interact with users using structured data and trigger actions via APIs.

This role is on-site.

Responsibilities

• Design data models, machine learning pipelines, and evaluation frameworks for production systems.
• Implement insight-generation pipelines that continuously learn from user interactions and business outcomes.
• Use Python and SQL to analyze large datasets, optimize queries, and support experimentation and model evaluation.
• Develop intelligent agents that query structured data sources and execute actions via APIs.

Required Skills

• 5+ years of experience in Data Science, Machine Learning, or Applied AI.
• Python for data science and production model development.
• SQL for writing and optimizing complex queries for analytics and agent data access.
• Hands-on experience with applied machine learning model building and deployment.
• Production integration mindset, including APIs and automated workflows for action execution.

Preferred Skills

• Experience with Agentic AI and LLM-based systems.
• Background in conversational AI, RAG, or AI agent frameworks.

Key Skills

Education

Any Graduate