12 Oct
|
Ariston Services
|
Bengaluru
12 Oct
Ariston Services
Bengaluru
MLOps Engineer
Job Description
Field
Details
Chapter area
AI (AI Engineering chapter)
Reports to
Chapter Lead – AI Engineering
Works with
AI Engineers, Data Engineers, AI Architects, AI QA, AI Model Risk SME, Run / Managed Services team
Experience
3–6 years in MLOps, DevOps or ML engineering, with production deployment experience
About the Role
The MLOps Engineer builds and operates the pipelines, infrastructure and tooling that take ML and GenAI solutions from development into reliable, governed production. The role owns deployment automation, monitoring and release discipline across the build-to-run lifecycle, and bridges AI Engineering, Data Engineering and platform/DevOps. The role covers both classical ML and LLMOps: evaluation, prompt and model versioning, observability and cost control for LLM-based and agentic systems.
Key Responsibilities
Deployment and release automation
• Build and maintain CI/CD and continuous-training pipelines for ML and GenAI components, with automated testing, approval gates, secure rollout (canary / blue-green) and tested rollback paths.
• Containerise and deploy model, RAG and agent endpoints on Kubernetes-based infrastructure, with environments provisioned as code.
• Manage model and prompt registries, versioning, experiment tracking and lineage so every release is reproducible and traceable.
Monitoring, observability and reliability
• Implement monitoring, logging and alerting for latency, availability, drift, output quality (groundedness, hallucination) and safety, with agreed thresholds and dashboards.
• Define runbooks, support incident response and root-cause analysis, and lead build-to-run handover and hypercare with the Run team.
LLMOps and GenAI enablement
• Operationalise RAG pipelines, vector stores, prompt libraries and automated evaluation suites; enforce "no eval suite and rollback path, no release".
• Track and optimise token usage, model routing and compute cost, with tagging that supports usage reporting and charg
📌 MLOps Engineer (Bengaluru)
🏢 Ariston Services
📍 Bengaluru