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MLOps Engineer (AWS, SageMaker, Terraform, DevOps)-L

2 - 5 years

Hyderabad Pune Bengaluru

Posted:14 hours ago

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Job Description

Position:

Experience:

Location:

Employment Type:

Roles & Responsibilities

  • Design, implement, and manage CI/CD pipelines using Jenkins, Git, and automation tools.
  • Deploy, monitor, and maintain Machine Learning models and pipelines on AWS SageMaker, Databricks, and Lambda environments.
  • Build and manage cloud infrastructure using Terraform and CloudFormation templates.
  • Containerize applications and ML workloads using Docker and deploy them on Kubernetes/EKS clusters.
  • Automate infrastructure provisioning, configuration, and deployment processes using Python scripts.
  • Manage and optimize AWS services including ECS, S3, IAM, RDS, Lambda, and SageMaker.
  • Troubleshoot production issues related to cloud infrastructure, Kubernetes, EKS, and deployment pipelines.
  • Implement monitoring, logging, and alerting solutions for cloud and ML platforms.
  • Collaborate with Data Scientists, ML Engineers, and Development teams to operationalize machine learning models.
  • Ensure scalability, security, compliance, and high availability of cloud-based applications and ML platforms.
  • Drive Infrastructure as Code (IaC) best practices and DevOps automation initiatives.
  • Support release management, environment maintenance, and cloud optimization activities.

Skills Required

MLOps AWS Cloud CI/CD Pipelines Amazon ECS Python Scripting Amazon S3 ML Pipelines CloudFormation

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Work Mode

Hybrid

Job Type

Full Time

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