This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a MLOps Engineer based in India.

This role offers the opportunity to own the infrastructure powering production AI systems in a rapidly scaling mortgage lending workplace.
You will transform early-stage AI deployments into reliable, scalable, and predictable production platforms capable of handling real-world workloads.
The position spans AI serving infrastructure, cloud deployment, CI/CD, infrastructure as code, internal developer tooling, and platform reliability.
You will design systems that enable engineers to ship AI changes quickly and safely without relying on infrastructure support for every release.
Observability, capacity planning, cost optimization, security, access control, and environment isolation will be central to your work.
You will operate at the intersection of software engineering, infrastructure, and AI, working with non-deterministic workloads and real production constraints.




This is a high-ownership opportunity for an engineer who enjoys building platforms from the ground up and creating leverage for the wider engineering organization.

Accountabilities:
- Design and operate scalable infrastructure for production AI services, moving workloads from single-host deployments to horizontally scalable, orchestrated environments.
- Architect infrastructure specifically for LLM-backed workloads, including long-running requests, streaming responses, bursty concurrency, expensive downstream calls, and upstream rate limits.
- Own capacity planning, autoscaling, resource utilization, and infrastructure unit economics to ensure systems scale efficiently.
- Build and maintain consistent promotion paths across development, pre-production, and production environments.
- Implement infrastructure as code and ensure infrastructure, configuration, and application logic remain version-controlled and reviewable.
- Build CI/CD pipelines

📌 MLOps Engineer (India)
🏢 Jobgether
📍 India