Ovii Job Board

Lead - Software Engineer MLOps

cloudsufi

-, India • Full-Time • 7+ years

Posted 2026-06-23 INR 3,500,000 - INR 4,000,000 per year Tech & Engg

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Job Description

Ovii's Interpretation of the Role

Lead MLOps Engineer (30% leadership, 70% hands‑on) responsible for designing, scaling and operating machine‑learning pipelines on Google Cloud Platform while guiding a small engineering team.

Role Snapshot

  • Lead MLOps Engineer (30% leadership, 70% hands‑on)
  • Design & scale ML pipelines on GCP
  • Automate model deployment, monitoring & governance
  • Guide a small engineering team
  • Collaborate with data scientists and data engineers

Must-Have Requirements

  • MLOps
  • Google Cloud Platform services (Vertex AI, GKE, BigQuery, Cloud Build, Cloud Storage, Cloud Endpoints)
  • CI/CD pipelines for ML model deployment
  • Data catalog tools (e.g., Open Metadata)
  • Model serving frameworks (TensorFlow Serving, TorchServe)
  • Kubeflow, MLflow, TFX
  • Google Cloud Platform
  • Project lead
  • University degree in Mathematics, Statistics, Computer Science, Physics or similar

Nice-to-Have Signals

  • Google Cloud official certifications
  • Google Cloud certifications

Work Setup

  • Location: -, India
  • Employment type: Full-Time

What You'll Likely Work On

  • Architect, build and maintain scalable MLOps pipelines using GCP services such as Vertex AI, GKE, Cloud Storage and BigQuery
  • Implement and optimize CI/CD pipelines for machine‑learning model deployment
  • Manage data catalog tools for versioning, lineage tracking and governance of models and datasets
  • Develop automated monitoring, logging and performance‑tracking systems for models in production
  • Lead integration of data‑cataloging solutions (e.g., Open Metadata) across the organization
  • Collaborate closely with data scientists and data engineers to streamline data processing, model training and testing
  • Mentor the engineering team and coordinate with cross‑functional stakeholders
  • Stay current with emerging MLOps trends and best practices

Good Fit If You Have

  • Strong analytical and problem‑solving abilities for complex MLOps challenges
  • Excellent English communication and presentation skills
  • Proven experience leading projects in an international setting

Skills

  • MLOps
  • Google Cloud Platform (Vertex AI, GKE, BigQuery, Cloud Build, Cloud Storage, Cloud Endpoints)
  • CI/CD pipelines for ML
  • Data cataloging tools (e.g., Open Metadata)
  • Model serving frameworks (TensorFlow Serving, TorchServe)
  • Kubeflow / MLflow / TFX
  • English proficiency
  • Analytical & problem‑solving