Machine learning ops

Infosys · Noida, Uttar Pradesh · Refreshed 22 days ago

About this role

Job Description & Key Requirements • Role: MLOps Specialist / Senior MLOps Engineer • Work Mode: Hybrid • Experience: 5+ Years in DevOps / Cloud / MLOps Core Technical Stack & Responsibilities: • ML Lifecycle & Platforms: End-to-end training and inference pipelines, model deployment, monitoring (data/concept drift detection), automated retraining, and Feature Store management using AWS SageMaker, MLflow, Kubeflow, or Databricks. • Cloud & Infrastructure: Hands-on AWS infrastructure automation (SageMaker, Lambda, S3, ECS, IAM, RDS) and container orchestration using Docker, Kubernetes / EKS. • Infrastructure as Code (IaC): Solid hands-on provisioning using Terraform and CloudFormation (CFT). • CI/CD & Scripting: Building and automating robust CI/CD workflows using Python, Jenkins, and Git.

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