Engineer II
Tasks
- Build data pipelines for training and inference
- Collaborate with data scientists and engineers
- Design machine learning services and APIs
- Develop production machine learning models
- Implement MLOps deployment and monitoring
- Integrate SQL and NoSQL databases
- Optimize backend services for performance
- Write production-ready, tested code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Dask | Django | Docker | FastAPI | Flask | GCP | Git | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | MongoDB | NoSQL | NumPy | Pandas | PostgreSQL | PyTorch | Python | REST APIs | Redis | SQL | Scikit-learn | Spark | TensorFlow
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