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

This senior engineering role focuses on building the production foundation that enables AI and machine learning systems to operate reliably at scale. You will own the infrastructure, pipelines, monitoring, governance, and deployment practices that take models from experimentation into production. The role spans traditional machine learning as well as up-to-date generative AI, LLM, retrieval-based, and agentic workloads. You will work closely with Data Science and Data Engineering teams to establish repeatable, observable, secure, and cost-effective ML operations. With significant ownership of production AI infrastructure, you will drive reliability, automation, governance, and continuous improvement. You will also collaborate with distributed U.S.-based teams while operating with a high degree of autonomy and technical responsibility.

Accountabilities:
- Design, build,



and maintain reliable deployment pipelines that move ML models from development and validation through production.
- Establish model versioning, lineage, registry, and automated model promotion practices.
- Define repeatable production-readiness standards and deployment patterns across machine learning and AI workloads.
- Partner with Data Scientists to make model handoffs efficient, consistent, and production-ready.
- Own production monitoring for model performance, drift, data quality, inference health, latency, availability, and other operational metrics.
- Establish alerts and operational thresholds that identify degradation before it materially impacts products or customers.
- Diagnose production failures, perform root-cause analysis, and implement durable corrective actions.
- Deploy and support production LLM applications, including retrieval-based and agentic architectures.
- Build evaluation frameworks to measure t

📌 Sr Machine Learning Engineer (India)
🏢 Jobgether
📍 India