Systems Architect 2, MLOps Engineer

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The UHealth-University of Miami Health System Information Technology & Systems Department has an opportunity for a full-time Systems Architect 2, MLOps Engineer.

The Systems Architect 2, MLOps Engineer is responsible for the independent design, development, and deployment of clinical applications and technologies. The architect defines system solutions based on user/client needs, cost, and required integration with existing applications, systems, or platforms. This employee also researches, identifies, selects, and tests technology products required for solution delivery. Establishes, implements, and documents technology integration or migration strategies. The employee must have the ability to proactively identify needs within the organization and, using expert technical and industry knowledge, design and build new solutions in support of organizational goals.

Core Responsibilities:

• Engineers new workflows or optimize existing business processes that supersede existing standards set in place internally or by vendors utilizing expert knowledge crossing multiple clinical applications and operational areas.
• Leads projects associated with application implementation and execution of high complexity and larger impact. Applies project management methodology and utilizes standard project management for software in development and maintenance of project plans.
• Functions as an independent project lead or provides oversight for project manager and/or business analyst on assigned projects and recognize/ minimize business value lost during project/program execution.
• Performs proactive analysis on current systems and technology in order to recommend potential changes or enhancements that will assist in adhering to organization’s strategic vision and improve operational workflows as well as patient and end user experience.
• Identifies product and customization requirements to effectively address necessary product configuration, while working within project scope and time line.
• Serves as mentor to senior analysts and is proficient and/or certified in numerous applications.
• Holds a comprehensive working knowledge and understands healthcare operational processes and job functions pertaining to assigned UHealth IT clinical applications and solutions.
• Possesses expert knowledge of third party partnerships, experience with managing vendor relationships, and contract negotiations.
• Provides support to the team in analyzing, resolving, and escalating complex integration problems encountered by the team during system implementations and upgrades.
• Implement projects that are ahead of industry/peer trends. Thinks out of the box and follows the marking curve to stay on the forefront of Healthcare technology. Designs new solutions.
• Participates in new hire orientation by providing the clinical application support in the work area required for the job role.
• Collaborates with clinic leadership to develop or improve operational processes, polices, and procedures.
• Participates in all clinical operations meetings to assess user feedback, gather future requirements for modifications, and provide a status on competency, adoption, and utilization rates.
• Facilitates knowledge transfer of the technology-enabled user workflows and best practice use of applications.
• Adheres to University and unit-level policies and procedures and safeguards University assets.

Department Specific Functions:

• Architect and implement infrastructure to support machine learning (ML) and artificial intelligence (AI) workloads across research, clinical, and operational domains
• Apply strong proficiency in Python and machine learning frameworks to build a platform that ensures reproducibility and scalability of advanced ML/AI solutions
• Utilize deep experience with containerization, orchestration, and infrastructure-as-code to enable scalable and reproducible deployments of ML/AI workloads
• Build and maintain CI/CD pipelines using industry-standard tools (e.g., GitHub Actions, Jenkins, Azure DevOps) for automated ML model…