Description

Key Responsibilities

• Design and develop AI-driven autonomous systems and multi-agent architectures using modern agentic frameworks and cognitive computing technologies.
• Build and optimize high-performance backend services using Python-based microservices architecture, including scalable REST and gRPC APIs.
• Develop and manage end-to-end MLOps/AIOps pipelines, automating model testing, deployment, monitoring, and lifecycle management.
• Architect and maintain scalable data infrastructure and pipelines across modern cloud data platforms including Snowflake, Databricks, and Lakehouse environments.
• Collaborate with engineering teams to deliver scalable, reliable, and production-ready AI solutions aligned with enterprise architecture standards

Key Skills

Education

Bachelor's degree