MLOps Engineer

What you'll work on

• Version model artifacts, configuration and evaluation evidence together.
• Build bounded serving environments, health checks and rollback paths.
• Monitor latency, resource consumption and approved quality signals without logging private prompts or documents.

What you bring

• Experience deploying or operating a machine-learning service.
• Working knowledge of Python, container tooling and reproducible environments.
• Ability to coordinate model evaluation, operational limits and safe release decisions.

First projects

• Create an opt-in inference deployment baseline with measurable resource budgets.
• Connect model release checks to document-evaluation and rollback evidence.

These describe the work area, not a request for free production work as part of an application.

Compensation and engagement

₹1,00,000 - ₹1,40,000 / month

Ranges are in INR per month, not annual CTC or take-home pay. For full-time employment, the range describes gross monthly base pay; for a paid contract, it describes the monthly fee for the agreed scope. Final compensation stays within the listed range, with hours, deliverables, deductions and engagement terms confirmed in writing before work begins.

Remote within India. This role is available through full-time employment or a paid contract, with the arrangement agreed before starting. Benefits, working hours, equipment and payment schedules depend on the written terms.