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MLOps Engineer

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Onsite

MLOps Engineer

Infosys

MLOps Engineer

Skills

DockerPythonData ScienceAWS LambdaDatabricksJenkinsData AnalysisMachine LearningAIAWSKubernetesTerraform

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


Educational Requirements

  • BTech
  • BCA
  • BSc
  • MCA
  • MTech
  • MSc

Service Line

Data Analytics Unit

Responsibilities

  • 5+ yrs DevOps/Cloud/MLOps experience; Python for scripting and automation
  • Strong with Jenkins, Git, Docker, EKS troubleshooting
  • AWS: SageMaker, Lambda, S3, ECS, IAM, RDS, infra creation
  • IaC: CloudFormation (CFT) and Terraform
  • MLOps: build/operate ML pipelines deploying to SageMaker, Databricks, or Lambda

Technical and Professional Requirements

  • SageMaker
  • MLflow
  • Kubeflow
  • Databricks
  • MLOps
  • Model Deployment
  • Model Monitoring
  • Model Retraining
  • Feature Store
  • CI/CD for ML
  • Training Pipelines
  • Inference Pipelines
  • Drift Detection
  • Docker
  • Kubernetes/EKS
  • Terraform
  • CloudFormation
  • AWS Lambda
  • Python Automation

Preferred Skills

  • Technology->AI-Data science->Python
  • Technology->AI-Physical AI-IoT->IoT Analytics - Machine Learning

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