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University of Miami · 6 days ago

Systems Architect 2, MLOps

Miami, FL

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

The University of Miami is seeking a Systems Architect 2, MLOps to design, develop, and deploy clinical applications and technologies. This role involves defining system solutions based on user needs and implementing technology integration strategies to enhance organizational goals.

Higher Education

H1B Sponsor Likely

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

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 deployment, monitoring, and retraining

Design and manage hybrid cloud/on-premises environments to support high-performance computing, data privacy, and compliance requirements (e.g., HIPAA, IRB)

Collaborate with data scientists, IT teams, and clinical stakeholders to translate ML/AI models into production-ready services integrated with clinical, research, and administrative systems

Implement frameworks for model governance, versioning, and auditability to ensure responsible and transparent AI practices, and integrate tools to streamline MLOps workflows

Design and implement robust APIs (e.g., RESTful, gRPC) to serve and integrate ML models with internal and external applications

Monitor system performance, model drift, and data integrity in real-time to maintain reliability and accuracy of deployed models

Apply a strong knowledge of clinical data standards (e.g., FHIR, OMOP, DICOM) to solution design and implementation

Qualification

PythonMLOpsCI/CD pipelinesContainerizationHybrid cloud environmentsMachine learning frameworksHealthcare EMR certificationData integration standardsProject managementChange control knowledgeInterpersonal skillsTeam collaboration

Required

Bachelor's Degree in relevant field

Minimum 8 years' experience in systems architecture, DevOps, or MLOps

Experience with hybrid cloud/on-prem environments, Azure preferred

Experience deploying and maintaining production workloads

Major systems development and implementation experience

Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch)

Strong proficiency with containerization (Docker), orchestration (Kubernetes), and infrastructure-as-code (Terraform, ARM templates)

Proficiency with CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps)

Familiarity with data integration standards and protocols, particularly those used in healthcare, such as APIs, FHIR, HL7, and DICOM

Understanding of responsible AI practices and model governance frameworks

Understanding of data privacy, security, and compliance in regulated environments

Demonstrated knowledge of change control and project management

Excellent interpersonal skills and ability to communicate ideas and problem solutions

Works well independently and as part of a team

Preferred

Epic or Healthcare EMR – Certification preferred

Experience in healthcare or academic settings preferred

Experience mentoring and leading data teams, system engineering teams, or software engineering teams preferred

Experience with high-performance computing (HPC) or GPU-based workloads preferred

Familiarity with ML lifecycle tools (e.g., MLflow, DVC, Airflow)

Knowledge of research compliance preferred

Benefits

Medical

Dental

Tuition remission

And more

Company

University of Miami

Glassdoor3.9

At UM you'll join a diverse and energized academic community.

Founded in 1925

Coral Gables, fl, US

5001-10000 employees

http://miami.edu

H1B Sponsorship

University of Miami has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (208)

2024 (151)

2023 (149)

2022 (121)

2021 (95)

2020 (114)