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Manager MLOps

Remote, US
Classification: Direct Hire
Contract Length: N/A
Location: 100% Remote (United States)
Job ID: 16471925

CereCore® provides EHR implementations, IT and application support, IT managed services, technical staffing, strategic IT consulting, and advisory services to hospitals and health systems nationwide. Our heritage is in the hallways of some of America’s top-performing hospitals. We have served as leaders in finance, operations, technology, and as clinicians turned power users and innovators. At CereCore, we know firsthand the power that aligned technology can provide in delivering care. As a wholly-owned subsidiary of HCA Healthcare, we are committed to bringing the expertise we have gained as operators to deliver IT services that emphatically address the needs of health systems across the United States. Our team of over 600 clinical and technical professionals has implemented EHR systems in more than 400 facilities and provides managed services support to tens of thousands of health system employees. We work tirelessly to provide healthcare organizations specialized IT services that support the delivery of patient care. The Link to Life-Saving Care.

CereCore is seeking a Manager of MLOps to join our team in Remotely. The Manager of MLOps will play a critical role in our Data Science team, focusing on the development and enhancement of our Machine Learning Operations (MLOps) platform. This role demands a unique blend of cloud architecture expertise, AI/ML knowledge, and leadership skills to manage a team of skilled professionals in building and maintaining a robust, efficient, and cutting-edge MLOps platform. Previous experience leading MLOps teams using Google Cloud Platform Vertex AI MLOps tools live and in production is required.

  • Leadership and Team Management: Direct and manage a team of cloud architects and engineers in designing and building our ML Ops platform. Foster a collaborative and innovative environment and ensure alignment with project goals.
  • AI Solutions: Develop solutions focused on Responsible AI, including explainability, data drift detection, and fairness metrics. Ensure adherence to ethical AI practices.
  • Platform Development: Enhance the MLOps platform to improve developer experiences for data and ML engineers. This includes streamlining workflows and integrating advanced tools and technologies.
  • Collaboration with AI/ML Experts: Liaise with specialists in Computer Vision, NLP, Forecasting, Large Language Models (LLM), predictions, synthetic data, and other AI/ML domains. Incorporate the latest advancements from these fields into the MLOps platform.
  • AI/ML Reliability and Observability: Work closely with the AI/ML Reliability engineering team to develop components that ensure the reliability and observability of our platform.
  • Cross-Disciplinary Knowledge: While primarily focused on AI/ML, this role also requires knowledge in related disciplines such as data sciences and health/biology sciences.
  • Experience in Platform Development: Candidates should have prior experience working with platform teams, especially in the data and AI/ML space.

  • Cross-functional Collaboration: Proven experience working closely with peer cloud teams, data scientists, and product managers to align platform development with organizational objectives.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field is preferred, but not mandatory for candidates demonstrating significant experience and a proven track record in the field of AI/ML and platform development.; Master's or higher degree is a plus.
  • Proven experience in managing and leading cloud architecture and engineering teams.
  • Strong background in AI/ML or Data Sciences technologies and platform development.
  • Demonstrated capability in leading Responsible AI initiatives.
  • Excellent communication, leadership, and project management skills.
  • Hands on technical engineering, architecture and development experience with Google Cloud Platform Vertex AI MLOps live and in production at scale.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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