MLOps Engineer

2 weeks ago

Hyderabad, Telangana, India Alvyl Consulting Full time US$ 80,000 - US$ 1,50,000 per year

Job Overview

We are looking for an experienced
MLOps Expert
with strong expertise in
Kubernetes
and
DevOps platforms
to join our engineering team. The ideal candidate will have hands-on troubleshooting skills, deep knowledge of CI/CD pipelines, and familiarity with machine learning workflows. Experience with
Kubeflow
,
MLflow
, GPU workloads, and storage solutions like
Rook-Ceph
and
S3
will be a strong advantage.

Key Responsibilities

  • Design, implement, and maintain scalable
    MLOps pipelines
    for machine learning models in production.
  • Manage and optimize
    Kubernetes
    clusters for ML workloads.
  • Implement and manage
    CI/CD pipelines
    using tools like
    Git
    ,
    Jenkins
    , and
    ArgoCD
    .
  • Ensure smooth deployment, monitoring, and scaling of ML models.
  • Work with
    storage systems
    (Rook-Ceph, S3) for data and model persistence.
  • Troubleshoot and resolve infrastructure and pipeline issues quickly.
  • Collaborate with Data Science teams to operationalize ML models.
  • Optimize workloads for
    GPU environments
    to improve training and inference performance.
  • Stay updated on emerging MLOps tools, frameworks, and best practices.

Required Skills & Qualifications

  • 3–4 years
    of experience in MLOps, DevOps, or related roles.
  • Strong hands-on experience with
    Kubernetes
    and container orchestration.
  • Proficiency in CI/CD tools:
    Git
    ,
    Jenkins
    ,
    ArgoCD
    .
  • Strong troubleshooting and debugging skills for infrastructure and ML pipelines.
  • Working knowledge of
    Rook-Ceph
    and
    S3
    storage systems.
  • Familiarity with
    Kubeflow
    and/or
    MLflow
    (added advantage).
  • Experience working with
    GPU-accelerated workloads
    (added advantage).
  • Solid understanding of cloud platforms (AWS, GCP, or Azure preferred).

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