Role Overview

we are building a next generation enterprise AI Delivery team and are seeking an experienced, MLOps Engineer to build and operate the pipelines, platforms, and guardrails that take ML/GenAI from notebooks to reliable, secure, and scalable production services.

You will engineer infrastructure-as-code, CI/CD for ML and LLM applications, secure model serving, observability, and runtime cost/performance optimization – partnering closely with Data Scientists, AI Product Owners, and Platform/DevOps teams.

Ideal candidates will have 3-5 years of production experience with ML platforms (e.g., SageMaker, Azure ML, Databricks), and expertise in Kubernetes-based model serving and GitOps automation.

You will champion reliability (SLOs/SLIs), compliance, and automation-first practices across the ML lifecycle.

Key Responsibilities

Design, develop, and document Infrastructure as Code (Terraform) for ML/LLM platform components on AWS/Databricks; implement secure, scalable foundations for data, compute, networking, and secrets.





Build and maintain GitHub based pipelines (Actions/Workflows) for training, packaging, validation, and deployment of ML/LLM assets (models, evaluation suites, prompts, policies), using GitOps for setting promotion.

Containerize models using Docker and deploy them primarily through managed endpoints (SageMaker/Azure ML); Kubernetesbased serving (KServe/Triton/Seldon) is a plus.

Operate model registries and feature stores; enforce versioning, lineage, and artifact governance via MLflow/Databricks and cloud native services.

Implement logs/metrics/traces, performance profiling, and drift/quality monitors; define SLIs/SLOs and on call runbooks; drive incident response and post-mortems with accountability (business hours support rotation).

Embed DevSecOps: secrets management, IAM/RBAC, vulnerability scanning, image signing, policy as code, least privilege access, backup/DR/resiliency patterns; align with enterprise security standards.

📌 Machine Learning Engineer (Bengaluru)
🏢 Cigres Technologies
📍 Bengaluru