MLOps Engineer
PuneFull-timeJunior levelPosted 5 months ago
Data science role at Rubiscape in Pune.
About the role
enterprises a path from experiment to production in under 90 days — and the MLOps Engineer is the person who makes that promise real. You will design the CI/CD pipelines, model registries, deployment orchestration, and monitoring infrastructure that keep hundreds of ML models running reliably across SaaS,
What you'll do
- Maintain end-to-end ML pipelines using MLflow, Kubeflow, or Airflow that handle
- Training, validation, packaging, and deployment of models at scale
- Model registry architecture within RubiStudio: versioning strategies, stage
- Transitions (staging → canary → production), approval gates, and rollback
- Automated model monitoring for data drift, concept drift, and prediction
What you need
- MLOps
- Machine learning
- Helm
- Python
- Writing
- Airflow
Good to have
- AWS
- Kubernetes
- Shell scripting
- Prometheus
- Grafana
- Docker