AI / ML Ops Engineer
Strong Python development, LangChain/LangGraph/LangSmith, AI concepts, MLOps/AIOps, API integrations, CI/CD/DevOps, observability (Dynatrace), SRE, incident/change management, production automation and governance.
Greetings from Infotel!
We are looking for an experienced Senior AI / ML Ops Engineerto join a leading Banking Domain client in Chennai.
π Work Location: Chennai (Perungudi)
π’ Work Mode: Work From Office (WFO)
πΌ Employment: Infotel Payroll (Permanent Employment)
π¦ Client Domain: Banking
π― Experience: 7 β 12+ Years
β³ Notice Period: Immediate Joiners to Maximum 30 Days Only
Interview Process:
β’ L1 β Virtual Interview
β’ L2 β Face-to-Face Interview (Mandatory)
Role Overview:
The Senior AI / ML Ops Engineer will play a critical role in designing, deploying, and operating Agentic AI solutions within a highly critical production environment. The candidate will bridge AI engineering and production operations to ensure AI-driven automation is secure, scalable, reliable, and production-ready.
Key Responsibilities:
β
Design and develop Agentic AI systems using LangChain, LangGraph, LangSmith, or similar frameworks.
β Build reasoning, planning, orchestration, and decision-making capabilities for AI-driven production automation.
β Integrate AI agents with observability platforms such as Dynatrace, monitoring tools, logs, metrics, and tracing systems.
β Implement AI/ML Ops practices, CI/CD pipelines, lifecycle management, and automation workflows.
β Define approval workflows, rollback mechanisms, safeguards, and Human-in-the-Loop controls for production environments.
β Ensure compliance with security, governance, auditability, and reliability standards.
β Collaborate with SRE, Operations, DevOps, Platform Engineering, and Architecture teams to industrialize AIOps initiatives.