Machine Learning Ops Engineer

Overview

Machine Learning Ops Engineer role focused on designing, building, and operating an AI/ML platform end-to-end on AWS and Kubernetes.

What you'll do

• Design, build, and operate the AI/ML platform on AWS + Kubernetes including clusters, networking, and IAM.
• Provision and evolve infrastructure using Terraform with review and rollback.
• Own CI/CD for data pipelines, ML models, and AI applications from repo to production.
• Set up and evolve platform observability using Prometheus, Loki, and Grafana/Datadog with dashboards, alerting, and SLOs.
• Automate environment provisioning and golden-path pipelines and provide self-serve tooling for data scientists.
• Partner with product, data science, and GenAI teams for model serving, evaluation, cost/latency controls, and safe rollouts.

What you'll need

• 3+ years of engineering experience in a complex, technical environment.
• Deep, hands-on Kubernetes experience in production.
• Hands-on AWS experience with 3+ of EKS, Lambda, EC2, S3, IAM, VPC/ALB/NLB, RDS, EMR, Glue, Athena, Batch, SageMaker, MWAA/Airflow.
• Working command of Terraform (modules, state, reviews, drift).
• Platform observability experience with Prometheus, Loki, Grafana and/or Datadog.
• Strong production Python (and SQL for data work).

Details

• Location: Bangalore, India.