Description

You will design and deploy Agentic AI systems that autonomously interact with enterprise data and applications. You will own the full lifecycle of machine learning models, from data ingestion and feature engineering to production deployment and continuous optimization.

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