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Follow →Build and deploy AI/ML models, voice systems, and agentic AI solutions for enterprise clients using AWS cloud infrastructure.
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
Deploys and scales enterprise-grade AI systems on AWS, focusing on agentic AI/ML and voice solutions from prototype to production.
Builds and maintains data pipelines and cloud infrastructure to support AI/ML services for enterprise clients using AWS.
Build and deploy AI/ML systems, including data pipelines, LLM integrations, and agentic workflows, to power intelligent features on a modern cloud platform.
Build and deploy machine-learning and generative-AI solutions on cloud platforms, integrating models into enterprise systems.
Build and deploy AI/ML models using Python, TensorFlow, and cloud platforms like Azure/AWS for Version 1.
Design and build generative AI applications like agentic workflows and chat systems for employee benefits using AWS, Python, and C#/Java, while owning end-to-end delivery and mentoring junior engineers.