Machine learning operations engineer
ILS 341K-443K (estimate) Senior-level Full Time
Tasks
- Build CI CD for models and agents
- Create data and feature pipelines
- Design and operate ML and LLM platforms on Kubernetes
- Drive FinOps for GPU utilization and cost control
- Implement model governance and audit trails
- Integrate agents with microservices event streams and rule engines
- Lead incident response and post-mortems
- Maintain MCP servers and clients
- Secure model serving with low latency
- Set up monitoring and observability for ML systems
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | ABAC | AWS | Autoscaling | Autoscaling Groups | Azure | B testing | Bash | CI/CD | DBT | Databricks | Databricks Unity | Databricks Unity Catalog | Docker | Encryption | FastAPI | Feast | Feature Stores | GCP | GDPR | Grafana | Hybrid search | Inference Server | Kubernetes | MLflow | Model Serving | OpenAI Compatible | OpenAI Compatible APIs | OpenTelemetry | PCI DSS | PII | PostgreSQL | Prometheus | Python | RAG | RBAC | Ray Serve | Secrets management | Spark | Terraform | Torchserve | Triton Inference | Triton Inference Server | Unity Catalog | Vector Databases
Education
N/A
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