Senior Engineer
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Job Description
- Design and maintain end-to-end MLOps pipelines for data ingestion, feature engineering, model training, deployment, and monitoring.
- Productionize ML/GenAI services, collaborating with data scientists on model serving and workflow optimization.
- Implement monitoring, alerting, and observability to reduce MTTR and ensure production reliability.
- Manage data/feature stores and search infrastructure for scalable ML inference.
- Automate CI/CD for ML models and infrastructure with governance and security compliance.
- Handle security patching, cost optimization, and 24x7 on-call rotations for critical services.
- Coordinate cross-functionally with development, QA, ops, and data teams to innovate build/deployment processes.