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Follow →Deploys and scales enterprise-grade AI systems on AWS, focusing on agentic AI/ML and voice solutions from prototype to production.
An AI-first services partner and AWS Preferred Partner, taking enterprise AI from experiment to production.
Locations: Bangalore, Coimbatore
Roles: AWS Cloud / DevOps, Cloud Infrastructure, Data Engineer, AI / Voice & Agentic AI/ML Engineer, Forward Deployed Engineer (AI/ML)
Compensation: Up to ₹70 LPA
Build and deploy AI/ML models, voice systems, and agentic AI solutions for enterprise clients using AWS cloud infrastructure.
Build and deploy production-grade AI/ML systems for enterprise customers, moving GenAI prototypes to scalable solutions while advising on adoption strategies and best practices.
Builds and deploys AI-powered applications for enterprise clients using cloud platforms like AWS and Azure, collaborating daily with business stakeholders to turn ideas into production solutions.
Build and deploy full-stack AI/ML applications on Cloudera’s platform, embedding with enterprise customers to prototype and operationalize GenAI and agentic systems.
Build and deploy full-stack AI/ML applications on Cloudera’s platform, embedding with enterprise customers to prototype and operationalize GenAI and agentic systems for real-world business challenges.
Build and deploy AI/ML solutions end-to-end for Amgen’s AI Studio, turning business problems into scalable GenAI, RAG, and agent-based products with MLOps and enterprise integrations.