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Tier-1 brand, senior AI title, and Bangalore metro location increase candidate competition.
Role requires industrial AI, digital-twin, and NVIDIA/Omniverse experience, limiting cross-industry transferability.
Explicit 7–10 years requirement plus mandatory GenAI, LLMOps, and cloud AI stack skills raise strictness.
Lead design and development of generative and optimization AI models for manufacturing process simulation, scheduling, and predictive analytics.
Manage AI pipelines including synthetic data generation, model training, validation, and deployment for industrial applications.
Integrate embedded AI and Gen AI with real-time industrial data streams ensuring high availability, low latency, and scalability in manufacturing operations.
7-10 years experience with relevant Bachelor’s degree or 4-6 years with Master’s or 1-3 years with PhD in Computer Science, AI, Data Science, Mathematics, or similar quantitative field.
Strong expertise in generative AI models, Amazon Bedrock, AWS AI/ML services, and building/managing Agentic AI systems using frameworks like LangChain or AutoGen.
Proficiency in cloud-native architectures, LLMOps, and MLOps tools with knowledge of security, cost, and governance for Gen AI on cloud.
Must work onsite full-time in Bangalore; Visa sponsorship not available.
Experienced in industrial AI applications, particularly manufacturing process simulation, predictive maintenance, and digital twin technologies.
Skilled in advanced AI optimization techniques including multi-objective, non-linear, evolutionary, and constraint-based methods.
Able to lead and mentor AI teams integrating AI models with real-time manufacturing systems and deploying enterprise-grade AI solutions at scale.