Engineering Manager, Machine Learning Operations
Seattle, Washington, United States
USD 240K-300K Mid-level Full Time
Tasks
- Bridge business and product needs to execution
- Champion ML best practices adoption
- Communicate technical content to diverse audiences
- Define MLOps roadmaps and KPIs
- Deliver mlops roadmap items on time
- Drive culture and psychological safety
- Ensure reliable scalable MLOps solutions
- Lead mlops team direction and execution
- Remove roadblocks and improve processes
Perks/Benefits
- 401k match
- Educational stipend
- Employee assistance program
- Employee stock program
- Paid family and paternity leave
- Paid sabbatical
- Quarterly team-building events
- Subsidized emergency childcare
- Training programs
- Tuition reimbursement
- Volunteer days
Skills/Tech-stack
Agile | Amazon SageMaker | Amazon Web Services | Apache Airflow | Apache Kafka | CI/CD | Cloud platform | Docker | Elasticsearch | FastAPI | GitOps | Google Cloud | Google Cloud Platform | Google Vertex | Google Vertex AI | Grafana | Kubeflow | Kubernetes | Langchain | Lean | Learning operations | MLflow | Machine Learning | Machine Learning Operations | NoSQL | Prometheus | PyTorch | Python | Redis | SQL | Scikit-learn | TensorFlow | Vertex AI | Web Services | Weights and Biases
Education
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