01 Oct
|
Infosys
|
Karnataka
&
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.
📌 Machine Learning Ops Karnataka
🏢 Infosys
📍 Karnataka