ML Engineer
Tasks
- Build and maintain feature stores and data layers
- Build and maintain machine learning CI CD pipelines
- Deploy machine learning models as scalable APIs and microservices
- Develop and optimize ETL pipelines for healthcare data
- Ensure data security and compliance for deployments
- Integrate ML outputs into healthcare applications
- Monitor model performance and data drift
- Package and orchestrate ML workloads with Docker and Kubernetes
- Participate in code reviews
- Write clean, documented Python code
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | APIs | AWS | Airflow | Azure | BentoML | CI/CD | DBT | Docker | ETL | FHIR | Feature Store | GCP | Git | Go | HIPAA | HITRUST | HL7 | Java | Kubeflow | Kubernetes | MLflow | Microservices | Pandas | Prefect | PyTorch | Python | SQL | Scikit-learn | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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