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Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy scalable AI and Machine Learning models and solutions to improve Supply Chain operations, including forecasting, optimization, predictive analytics, and automation.
Build and manage AI Agents and multi-agent systems using frameworks like Lang Graph, Lang Chain, Auto Gen, Crew AI to automate workflows and enhance operational decision-making.
Deploy and maintain AI/ML applications on AWS and Azure with MLOps pipelines ensuring production readiness, monitoring, retraining, and performance optimization.
Minimum Requirements
Bachelor's degree in Computer Science, Software Engineering, AI, or related field with 7+ years experience; OR Master's degree with 5+ years relevant industry experience.
Strong hands-on expertise in Python for designing, developing, deploying, and optimizing scalable ML and AI solutions in production environments.
Experience with cloud platforms AWS and Azure including deploying, monitoring, and managing AI/ML models with MLOps practices.
Location requirement: Bangalore (Hybrid); Travel requirement: 10-20%.
Ideal Candidate Profile
Experienced AI/ML professional with deep practical skills in Generative AI applications and Agentic AI workflows using frameworks such as Lang Graph, Lang Chain, Auto Gen, or Crew AI.
Strong knowledge of system design patterns, microservices, containerization (Docker), Kubernetes, and infrastructure automation supporting scalable cloud-native AI solutions.
Background in enterprise data engineering and integration, with ability to build data pipelines and integrate knowledge graphs and intelligent document processing relevant to Supply Chain.