Machine Learning Engineer

9 years

0 Lacs

Posted:1 week ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Position 1

Location

Contract

Start Date


🔎 Role Overview

Senior MLOps Engineer (Level III)


Responsibilities

  • Lead design of

    scalable MLOps frameworks

    and automation strategies.
  • Build and optimize monitoring/alerting systems for

    drift, accuracy, and latency

    .
  • Manage governance and versioning with GitHub Enterprise and JFrog Artifactory.
  • Enhance deployment/retraining pipelines (Terraform, ArgoCD).
  • Partner with Big Data and Work Routing teams for system reliability.
  • Mentor junior engineers and lead

    knowledge transfer sessions

    .



Qualifications

  • 5–9 years of experience in

    MLOps, DevOps, or ML Engineering

    .
  • Advanced proficiency in automation, pipelines, and

    hybrid infra (on-prem + cloud)

    .
  • Hands-on expertise with Terraform, ArgoCD, and orchestration tools.
  • Strong leadership and communication skills.



Why Join?

  • Be part of an

    INSPYR Solutions Managed Service team

    .
  • Work on cutting-edge

    production ML infrastructure

    .
  • Fast selection

    : one interview with the hiring manager.
  • Opportunity to contribute to a

    long-term, high-impact engagement

    .

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