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Data Science Engineer for Cloud Platforms
1 week ago
Job Overview
We are seeking an experienced Data Science Engineer to lead our machine learning engineering efforts for a leading west coast-based healthcare system. This is a 12+ month contract opportunity.
About the Role
This position requires expertise in deploying and maintaining production-grade machine learning models with real-time inference, scalability, and reliability. The ideal candidate will have proven experience in developing end-to-end scalable ML infrastructures using cloud platforms such as AWS, GCP, or Azure.
Key Responsibilities
- Developing and deploying machine learning models with high accuracy and efficiency
- Leveraging containerization technologies like Docker and Kubernetes for streamlined deployment
- Collaborating with data scientists and DevOps teams to drive engineering efforts forward
- Ongoing monitoring and optimization of CI/CD pipelines for machine learning models
- Maintaining clear documentation of ML Ops processes for team knowledge sharing
Requirements
- 3+ years relevant Data Science or ML Engineering experience
- Bachelor's degree in computer science, artificial intelligence, or a related field; Master's preferred
- Experience working with Electronic Health Records (EHR) systems and healthcare regulations
Preferred Qualifications
- Proficiency in multiple cloud platforms, including AWS, GCP, or Azure
- Certification(s) in Data Science or Machine Learning desired