Closed
PAID JOB
Technology
Full Time
Hybrid
MLOps Engineer
This role is closed. It is no longer accepting applications. You can still read the description, and other open roles are listed on the careers page.
Hybrid — Pune
4–8 yrs
₹22,00,000 – ₹36,00,000 / year
Posted 24 Sep 2026
Take machine learning models from a notebook to a production service that stays accurate and affordable. You will build the pipelines, deployment and monitoring that data scientists rely on.
What you will own
- Training, validation and deployment pipelines with versioned data and models
- Model serving, batch and real time, with rollback and canary release
- Monitoring for drift, latency, cost and data quality
- Reproducible environments and tooling for the data science team
What we are looking for
- Four or more years in ML engineering, DevOps or data engineering
- Strong Python, plus MLflow, Kubeflow, SageMaker or Vertex AI
- Solid Docker, Kubernetes and CI/CD skills
- Understanding of the ML lifecycle and of what makes a model fail after launch
Skills we're looking for
MLOps
MLflow
Python
Docker
Kubernetes
CI/CD
Model Monitoring
AWS SageMaker