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Tier-1 Google brand, mid-level ML generalist in Bangalore attracts many qualified applicants.
Requires specialized generative AI, MLOps, and cloud expertise, limiting cross-industry transferability.
Explicit 5+ years, mandatory ML, cloud, Terraform, and production deployment skills required.
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Lead development of conversational AI and customer experience applications, transforming prototypes into production-ready agent workflows.
Architect and optimize conversational flows integrating Google AI products with customer infrastructure, including APIs and security perimeters.
Build evaluation pipelines and observability frameworks to improve agent workload performance, reasoning loops, and tool selection while ensuring security.
Bachelor’s degree in Engineering, Computer Science or related field, or equivalent practical experience.
Minimum 5 years experience in software development using Python or similar languages.
Experience architecting AI systems on cloud platforms such as Google Cloud Platform.
Experience deploying resources via Terraform or similar IaC tools to automate cloud setups.
Experienced in end-to-end engineering lifecycle of AI systems, including prototype to production transitions and MLOps.
Capable of troubleshooting and debugging live, high-traffic AI systems with real-time resolution skills.
Skilled at collaborating with customer engineering teams to implement best practices and drive adoption of AI solutions.