Description

Design and deploy Agentic AI systems that autonomously interact with enterprise data and applications.

This role is on-site.

Responsibilities

• Build and optimize deep learning models for structured and unstructured data using Python.
• Develop autonomous AI agents using frameworks like LangChain, AutoGen, or CrewAI.
• Integrate agents with enterprise data lakes, warehouses, and APIs to enable analytics and automation.
• Implement MLOps best practices for model deployment, monitoring, and security compliance.
• Collaborate with data engineers and architects to translate business requirements into scalable AI solutions.

Required Skills

• 10+ years of experience in Data Science or Machine Learning Engineering.
• Strong proficiency in Python (NumPy, Pandas, Scikit-learn).
• Hands-on experience with LLMs (OpenAI, Azure OpenAI, Anthropic) and Agentic AI.
• Experience with SQL, NoSQL, data lakes, and data warehouses.
• Knowledge of cloud platforms (AWS, Azure, or GCP).
• Experience with REST APIs, microservices, and MLOps.
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related field.

Preferred Skills

• Experience with AutoGen or CrewAI for multi-agent orchestration.
• Strong understanding of statistics, probability, and ML algorithms.

Key Skills

Education

Bachelor's or Master's degrees