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Senior, niche agentic ML role at a reputable finance firm in Bangalore yields moderate applicant competition.
Highly specialized agentic AI and MLOps focus limits cross-industry transferability.
Mandates deep MLOps, Python, Kubernetes, AWS and architecture expertise, producing stringent technical screening.
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Act as technical authority driving engineering standards, architecture alignment, and consistency for agentic AI and ML-enabled services across multiple squads.
Own technical delivery of CSP's agent interoperability capabilities including shared APIs, MCP servers, reusable agents, and agent-to-agent interaction patterns.
Lead resolution of complex technical challenges, mentor senior engineers, and partner with Product, Architecture, and Platform teams to shape scalable and secure AI solutions.
Proven senior engineer experience working across multiple squads or domains.
Strong MLOps engineering skills including CI/CD for ML, model lifecycle management, and production operations.
Hands-on Python and service engineering expertise with secure APIs, distributed services, authentication, authorization, observability.
Experience with containerization and cloud platforms such as Docker, Kubernetes, and AWS.
Experienced in designing and delivering complex agentic AI and ML services with strong architecture and non-functional requirements focus (reliability, security, scalability).
Demonstrated ability to influence technical direction across teams and collaborate with leadership in Product, Architecture, and Engineering.
Mentoring and capability building of senior engineers, promoting engineering standards and reusability across the platform environment.