Engineering Manager, Machine Learning

• Duties: Requiring limited supervision;
• This role is an intersection of applied machine learning, surgical healthcare operations, and the data and machine learning Ops infrastructure
• Lead three highly technical teams spanning Machine Learning Engineering for computer vision and forecasting and our Data Platform team.
• Ensure machine learning systems move reliably from research to production, delivering measurable real-world impact.
• Direct daily operations of department, analyzing workflow, establishing priorities, developing standards and setting deadlines.
• Manage, mentor, hire and grow the department of engineers and data engineers across three distinct teams
• Manage machine learning system architecture, model deployment, and data platform design and execution
• Ensure machine learning solutions are production-grade, scalable, observable, cost effective and maintainable
• Drive best practices for machine learning model lifecycle management, data pipelines, and system reliability
• Work closely with Product, Clinical, Operations, and Research stakeholders to translate business and clinical needs into clear technical priorities
• Define the machine learning and data platform goals and roadmaps, balancing near-term wins with long-term scalability
• Lead teams working on distinct but interdependent problem spaces
• Will work remotely
• We offer competitive salaries and comprehensive benefits packages. Please email your resumes to recruiting@apella.io
• On your resume, please clearly note ADV: [source] and job title.
• Apella Technology Inc. is an equal opportunity employer.

None flagged.