Systems Architect 2, MLOps Engineer

University of Miami; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Competitive salary

Comprehensive benefits package

Tuition remission

Job summary

University of Miami Health System seeks a Systems Architect 2, MLOps Engineer to independently design, develop, and deploy clinical applications and AI solutions. You will define integrated system solutions, manage vendor relationships, and implement scalable ML/AI workloads across hybrid cloud/on-prem environments.

The role requires 8+ years in systems architecture/DevOps/MLOps, strong Python and ML framework skills, and proficiency in Docker, Kubernetes, and Terraform.

Qualifications

• Bachelor's Degree in relevant field.
• Epic or Healthcare EMR certification preferred.
• 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.
• Experience in healthcare or academic settings preferred.
• Experience mentoring and leading data teams or software engineering teams.
• Experience with HPC or GPU-based workloads preferred.
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Strong proficiency with Docker and Kubernetes; Terraform and ARM templates.
• Proficiency with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps).
• Familiarity with ML lifecycle tools (MLflow, DVC, Airflow).
• Familiarity with healthcare data standards: APIs, FHIR, HL7, DICOM.
• Understanding of responsible AI practices and model governance.
• Understanding of data privacy, security, and compliance in regulated environments.
• Change control and project management knowledge.
• Excellent interpersonal skills and ability to communicate solutions.

Responsibilities

• Architect and implement ML/AI infrastructure for clinical, research, and operations.
• Lead complex, high-impact projects with vendor coordination.
• Design scalable, reusable ML platforms with reproducible workflows.
• Develop CI/CD pipelines for ML models and maintain them.
• Collaborate with data scientists and IT to productionize models.
• Ensure data privacy, security, and regulatory compliance.

Skills

Python

ML frameworks

Containerization

Orchestration

CI/CD

Project leadership

Communication

Healthcare domain knowledge

DevOps

MLOps

Education

Bachelor's Degree

Tools

Docker

Kubernetes

Terraform

ARM templates

GitHub Actions

Jenkins

Azure DevOps

MLflow

DVC

Airflow

Job description

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.

Think 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 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.

CORE QUALIFICATIONS:

Bachelor's Degree in relevant field

Epic or Healthcare EMR – Certification preferred

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

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

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

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

Knowledge of research compliance preferred

Any appropriate combination of relevant education, experience and/or certifications may be considered.

#LI-AS1

The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.

UHealth-University of Miami Health System, South Florida's only university-based health system, provides leading-edge patient care powered by the ground breaking research and medical education at the Miller School of Medicine.

As an academic medical center, we are proud to serve South Florida, Latin America and the Caribbean.

Our physicians represent more than 100 specialties and sub-specialties, and have more than one million patient encounters each year.

Our tradition of excellence has earned worldwide recognition for outstanding teaching, research and patient care.

We're the challenge you've been looking for.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.

Job Status: Full time Employee Type: Staff

The mission of the University of Miami is to transform lives through education, research, innovation, and service.

A vibrant and diverse academic and healthcare community, the University of Miami and the University of Miami Health System ("UHealth") have rapidly progressed to become one of the nation’s top research universities and academic medical centers in the nation.

The University comprises 12 schools and colleges serving undergraduate and graduate students in more than 350 majors and programs.

Visit welcome.miami.edu/about-um to learn more about our points of pride.

The University ranks No. 55 on U.S. News & World Report’s 2022 Best Colleges list and ranked No. 49 in the 2022 Wall Street Journal/Times Higher Education College Rankings.

Bascom Palmer Eye Institute is ranked the #1 eye hospital in the USA and offers some of the nation's premiere eye doctors to treat every eye condition for adults.

Sylvester Comprehensive Cancer, part of the Miller School of Medicine, received the prestigious National Cancer Institute designation in 2019.

The University of Miami and UHealth have also ranked among the Forbes Best Employers and Best Employers for Women on several occasions, most recently in 2022.

With more than 17,000 faculty and staff, the University strives for excellence, and is driven by a powerful mission to transform and impact the lives of its students, patients, members of the community, and people across the globe.

The University of Miami is an Equal Opportunity Employer. Applicants and employees are protected from discrimination based on certain categories protected by Federal law.