Principal Software Engineer
Tasks
- Build and maintain MLOps infrastructure for deployment and monitoring
- Design build and maintain machine learning services and APIs
- Design deploy and maintain data pipelines for training validation and inference
- Develop production machine learning models
- Integrate machine learning models into product features
- Optimize application speed scalability and reliability
- Store retrieve and optimize data using SQL and NoSQL databases
- Write clean tested production-ready code
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Dask | Data Modeling | Django | Docker | FastAPI | Flask | Git | Google Cloud | Google Cloud Platform | Kubeflow | Kubernetes | MLOps | MLflow | Machine Learning | MongoDB | NumPy | Pandas | PostgreSQL | PyTorch | Python | Query Optimization | REST APIs | Redis | SQL | Scikit-learn | Spark | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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