Machine Learning Engineer
Tasks
- Build and maintain CI CD pipelines for machine learning
- Build and maintain feature stores
- Deploy ML models as scalable APIs and microservices
- Develop and optimize ETL processes
- Ensure data handling and deployments meet HIPAA and HITRUST
- Integrate ML outputs into healthcare applications
- Monitor model performance and data drift
- Package and orchestrate ML workloads with containers
- Participate in code reviews
- Transform healthcare data into datasets for training and inference
- Write maintainable documented Python code
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWS | Airflow | Azure | BentoML | Cloud platform | DBT | Docker | ETL | FHIR | Feature Store | Git | Go | Google Cloud | Google Cloud Platform | HIPAA | HITRUST | HL7 | Java | Kubeflow | Kubernetes | Langchain | Language Models | Large Language Models | MLflow | Microservices | Pandas | Prefect | PyTorch | Python | SQL | Scikit-learn | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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