01 Oct
|
Infosys
|
Bangalore Urban
01 Oct
Infosys
Bangalore Urban
&
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 Bangalore Urban
🏢 Infosys
📍 Bangalore Urban