Cambia is seeking to create a person-focused and economically sustainable health care system by advancing AI capabilities to make health journeys easier for members.
Requirements
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of experience in ML Ops Engineering, DevOps Engineering, Data Engineering or Software Development
- Equivalent combination of education and experience
- Contribute to enterprise patterns and practices around the use and design of AI Solutions
- Author and champion enterprise-wide AI Engineering related standards.
- Recognized as an industry leader in ML Ops, with contributions to the field through publications, patents, or speaking engagements.
- Extensive experience with cutting-edge ML Ops tools, frameworks, and methodologies.
Responsibilities
- Develops long-term strategies for AI Engineering and aligns them with corporate objectives.
- Represents the company in industry forums, conferences, and publications related to AI Engineering.
- Establishes partnerships with external organizations and vendors to enhance AI Engineering capabilities.
- Oversees the architecture and design of the AI infrastructure to ensure it meets future needs.
- Oversees the implementation of enterprise-scale AI systems and infrastructures.
- Provides executive-level reporting on ML Ops initiatives and performance metrics.
- Develops and champions an organizational culture that values continuous learning and innovation in ML Ops.
Other
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of experience in ML Ops Engineering, DevOps Engineering, Data Engineering or Software Development
- Equivalent combination of education and experience
- Exceptional ability to communicate complex technical concepts to non-technical stakeholders.
- Track record of successfully leading large, cross-functional teams and projects.
