Partner 20, Applied ML, Engineer, ASG
San Francisco, California, United States
USD 362K-422K Mid-level Full Time
Tasks
- Build cloud-native ML infrastructure
- Build machine learning production pipelines
- Configure observability
- Deploy model inference services
- Design machine learning architectures
- Ensure model governance
- Implement CI/CD pipelines
- Implement MLOps standards
- Integrate ML models into user facing products
- Lead technical strategy
- Manage model lifecycle
- Optimize latency and throughput
- Perform feature engineering
- Research model serving strategies
- Set up Automated Testing
- Train machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | CI/CD | Data Engineering | Docker | Feature Engineering | GCP | GKE | JAX | Kubeflow | Kubernetes | Low Latency | Low-Latency Systems | MLOps | MLflow | Machine Learning | Model Governance | Model Serving | Model Training | NumPy | Observability | PyTorch | Python | Scikit-learn | TFX | TensorFlow
Education
N/A
Regions
Countries
States
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