ML Ops Engineer, Chanakya
DelhiFull-time3–5 yrsPosted open since apr 2026
Mid-level data science role at Sarvam in Delhi. Needs 3–5 years.
About the role
The MLOps Engineer owns the model lifecycle across all defence and strategic sector deployments — from serving infrastructure and monitoring to evaluation pipelines and environment management. You ensure the system is always on, always accurate, and always auditable.
What you'll do
- Design and operate model serving infrastructure across on-prem and cloud deployments
- Build and maintain CI/CD pipelines for model updates, rollbacks, and evaluation-gated deployments
- Monitor model performance in production — latency, accuracy drift, throughput, failure modes — and build systems that surface issues before clients do
- Build evaluation infrastructure: harnesses, A/B testing, and model comparison tooling for field and lab use
- Manage containerised model serving in constrained, air-gapped, and edge environments
What you need
- MLOps
- Machine learning
- Python
- LLMs
- ETL
- CI/CD
Good to have
- Docker
- Kubernetes
- Prometheus
- Grafana
- Incident response
- Operational risk