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DevOps Engineer (MLOPs )

7 years

0 Lacs

pune maharashtra india

Posted:3 days ago| Platform: Linkedin logo

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Skills Required

devops aws scripting learning design ml model training testing containerization docker automate provisioning terraform mlflow airflow sagemaker scalability reliability ai data automation python iam compliance security optimization storage gitlab jenkins programming monitoring logging git troubleshooting gcp azure

Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

DevOps Engineer with strong MLOps expertise

Key Responsibilities

  • Design, implement, and maintain

    CI/CD pipelines

    for ML model training, testing, and deployment.
  • Manage

    containerization & orchestration

    using Docker and Kubernetes.
  • Automate infrastructure provisioning using

    Terraform/CloudFormation

    .
  • Implement and manage

    MLOps tools

    (Kubeflow, MLflow, Airflow, SageMaker, etc.).
  • Ensure

    scalability, reliability, and monitoring

    of ML/AI production systems.
  • Work closely with

    data scientists and ML engineers

    to operationalize ML models.
  • Develop

    automation scripts

    in Python/Bash to streamline workflows.
  • Implement and manage

    AWS cloud services

    (EC2, S3, EKS/ECS, Lambda, RDS, IAM, Secrets Manager).
  • Ensure compliance with

    security, cost optimization, and performance best practices

    .

Required Skills & Experience

  • 7+ years

    of experience as a DevOps/MLOps Engineer.
  • Strong hands-on expertise in

    AWS Cloud

    (compute, storage, serverless, IAM).
  • Solid knowledge of

    CI/CD tools

    (GitLab CI/CD, Jenkins, ArgoCD).
  • Proficiency in

    Docker & Kubernetes

    for container orchestration.
  • Experience with

    MLOps tools

    : Kubeflow, MLflow, Airflow, SageMaker, or similar.
  • Strong scripting/programming skills in

    Python and Bash

    .
  • Experience with

    monitoring/logging tools

    (Prometheus, Grafana, ELK stack).
  • Familiarity with

    data version control

    (DVC, Git) and

    feature stores

    is a plus.
  • Excellent troubleshooting and problem-solving skills.

Good to Have

  • Experience with

    multi-cloud (GCP/Azure ML)

    .
  • Familiarity with

    TorchServe, BentoML, KFServing

    for model serving.
  • Knowledge of

    security & compliance in ML pipelines

    .

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