Senior MLOps Engineer (GCP Ecosystem)

10 years

0 Lacs

india

Posted:4 days ago| Platform: Linkedin logo

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Skills Required

gcp scaling ml vertex ai model development deployment design monitoring data devops automation drive software engineering tuning python orchestration docker certification communication collaboration

Work Mode

On-site

Job Type

Full Time

Job Description

Senior MLOps Engineer

Responsibilities:

  • Design, implement, and optimize

    end-to-end MLOps pipelines

    on GCP.
  • Build and manage

    scalable ML workflows

    using

    Vertex AI, GKE, and CI/CD

    frameworks.
  • Implement

    LLMOps best practices

    for deploying and monitoring large language models in production.
  • Collaborate with Data Scientists, ML Engineers, and DevOps teams to deliver

    robust and reliable ML solutions

    .
  • Ensure

    automation, observability, and governance

    across ML lifecycle.
  • Drive adoption of

    cloud-native ML practices

    and optimize costs and performance.

Requirements:

  • 10+ years

    of experience in software engineering / MLOps / ML platform engineering.
  • Strong hands-on experience with

    Google Cloud Platform (Vertex AI, GKE, AI/ML Ops tools)

    .
  • Experience in

    LLMOps

    , including fine-tuning, deployment, monitoring, and scaling of large language models.
  • Proficiency in

    Python, CI/CD pipelines, and container orchestration (Docker, Kubernetes)

    .

  • GCP Certification (MLE preferred)

    is highly desirable.
  • Excellent communication and collaboration skills to work in

    cross-functional teams

    .


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