Engineer II
Tasks
- Build and use SQL and NoSQL databases for ML data
- Build manage data pipelines for training validation inference
- Collaborate with data scientists and engineers to integrate ML models
- Contribute to MLOps for deployment monitoring
- Design build maintain machine learning services and APIs
- Develop production ML models
- Optimize applications for speed scalability reliability
- Write testable production quality code
Perks/Benefits
- N/A
Skills/Tech-stack
CI/CD | Dask | Data Modeling | Django | Docker | FastAPI | Flask | Git | Kubeflow | Kubernetes | MLflow | Machine Learning | MongoDB | NumPy | Pandas | PostgreSQL | PyTorch | Python | Query Optimization | REST API | Redis | Scikit-learn | Spark | TensorFlow
Education
Roles
Developer | Engineer | Learning Engineer | Machine Learning Engineer | Python | Python Developer
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