Job Description
Machine Learning Engineer will provide technical direction, execution and support of machine learning strategies for the SCPMG Medical informatics group. The position entails designing and implementing data pipelining, integration, and optimization of machine learning models to address healthcares triple aim: to improve the health of populations, to lower the cost of care, and to enhance the care experience.
Essential Responsibilities:
- Use statistical and machine learning techniques to develop and improve clinical decision support tools
- Design and develop data pipelines for machine learning applications
- Optimize machine learning models to scale in real-time streaming applications
- Integrate and deploy machine learning components in a production environment
- Work closely with machine learning scientists, physicians, and other stakeholders
- Lead small/sub-project efforts and provides visibility into team accomplishments to other departments/groups.
- Reviews and provides practical feedback on group products and procedures.
- Provides technical feedback on team members work.
- Mentors team members acquiring new skills.
- Seeks out open-source software packages or existing software code that can be reused or applied to assigned tasks.
- Defines the logic, performs coding, tests, and debugs system components.
- Develops and enforces current programming standards and change management.
- Independently develop and modify testing components/scripts to support required functions.
- Guide and help lower level developers in test-driven development (TDD) design/implementation.
- Work with subject matter experts (SME) and senior developers to develop comprehensive testing plan/modules for self-developed software components.
- Produces/archives process related artifacts such as design documents, test plans, wikis, and code review forms.
- Deploys developed products to project environments.
Basic Qualifications:
Experience
- Minimum six (6) years of programming or technical related experience.
Education
- B.S. in Computer Science, Informatics, Physics, Mathematics, Engineering or related fields.
License, Certification, Registration
Additional Requirements:
- Familiarity with Python and Java, expert in at least one of the two
- Experience with pipelining, workflow, and orchestration tools such as Apache Airflow, MLFlow, Kubeflow
- Experience with deep learning frameworks (e.g. Tensorflow)
- Experience with SQL
- Experience with source control tools for both code and models/data
- Familiarity with classification and regression algorithms
Preferred Qualifications:
- Demonstrated experience in Natural Language Processing
- Demonstrated experience with machine learning integration and deployment in production environments
- Demonstrated experience with Tensorflow Serving
- Familiarity with C++/CUDA
- Familiarity with healthcare terminology
- M.S. in Computer Science, Informatics, Physics, Mathematics, Engineering or related fields.
Company Info.
Kaiser Permanente
Kaiser Permanente, commonly known simply as Kaiser, is an American integrated managed care consortium, based in Oakland, California, United States, founded in 1945 by industrialist Henry J. Kaiser and physician Sidney Garfield.
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Industry
Healthcare
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No. of Employees
304,220
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Location
Oakland, CA, USA
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Website
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Jobs Posted
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Kaiser Permanente is currently hiring Machine Learning Manager Jobs in San Diego, CA, USA with average base salary of $120,000 - $190,000 / Year.