Senior Machine Learning Operations Engineer II (AI Native)
Tasks
- Automate continuous training pipelines
- Build CI/CD pipelines for machine learning
- Containerize models and run batch processing
- Deploy and scale machine learning models
- Develop SDK API automation for ML systems
- Enable data streaming pipelines for online inference
- Implement data code model lineage tracking
- Implement logging alerting monitoring
- Mentor machine learning engineering best practices
- Provision cloud ML infrastructure with IaC
Perks/Benefits
- 401k matching
- Disability insurance
- Employee assistance program
- Life insurance
- Medical/Dental/Vision insurance
Skills/Tech-stack
AWS | Airflow | Apache Spark | Azure Synapse | Azure Synapse Analytics | DBT | Dask | Databricks | Docker | FastAPI | Feast | Feature Store | Flink | GCP | Git | Inference Server | Infrastructure as Code | Kafka | Kubeflow | Kubernetes | Logging | MLflow | Model Registry | Monitoring | NVIDIA Triton | NVIDIA Triton Inference | NVIDIA Triton Inference Server | Observability | PySpark | Python | Ray | SQL | Spark | Synapse Analytics | TGI | Tecton | Terraform | Triton Inference Server | VLLM | “as-code”
Education
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