Live opening · Posted 1 day ago
Machine learning ops
Infosys · Bangalore Urban, Karnataka, India (Hybrid)
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At a glance
The key details from the original listing.
CompanyInfosys
LocationBangalore Urban, Karnataka, India (Hybrid)
Work modeHybrid
SkillsMachine Learning, Python, AWS, Docker, Kubernetes, Terraform
Source
Linkedin
Listed1 day ago
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About the role
Description supplied by the original job listing.
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.
Work arrangement
Hybrid
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