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Machine Learning Engineer

5 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Position

Experience

Location



MLOps Engineer


Required Skills


  • Hands-on experience with MLOps platforms:

    MLflow

    ,

    Kubeflow

  • Strong proficiency in

    Python

    and modular code development
  • Proficient with

    Docker

    , CI/CD tools (

    Jenkins

    ,

    GitLab CI

    )
  • Familiarity with

    Kubernetes

    and container orchestration
  • IaC tools:

    Terraform

    ,

    Ansible

  • Monitoring tools:

    Prometheus

    ,

    Grafana

    ,

    Datadog

    ,

    AWS CloudWatch

  • Experience with

    AWS SageMaker

    ,

    Google Vertex AI

    , or

    Databricks

  • Competency in

    Linux

    , shell scripting, and command-line operations
  • Solid understanding of

    microservices

    , load balancing, and service discovery
  • Proficiency with

    Git

    and version control workflows
  • Knowledge of ML fundamentals and lifecycle


Qualifications

  • Bachelor’s in Computer Science or related field
  • 3–5+ years in MLOps/SRE/Software Engineering
  • 2+ years working on ML/AI systems in production
  • Certification (e.g.,

    AWS DevOps Engineer – Professional

    ) is a plus

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