Remote Systems Architect & MLOps Engineer

Ladders; United States; Remote; USD 110,000 - 130,000; Full time

Benefits offered by this job

Medical and dental coverage

Tuition remission for employees and/or

Professional development opportunities

Supportive work environment

Access to cutting-edge technology

Job summary

Ladders is seeking a Systems Architect 2, MLOps Engineer to shape and support advanced technology solutions that improve clinical operations and service delivery for our client in Education, Government & Non-Profit space.

This remote role owns the design, implementation, and optimization of workflows connecting technical architecture with operational needs, and collaborates with clinic leadership to drive enhancements while mentoring analysts and engineers.

Qualifications

• Bachelor's degree in a relevant field.
• 8+ years in systems architecture, DevOps, or MLOps.
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch).
• Experience with hybrid cloud and on-prem environments (Azure preferred).
• Knowledge of Docker and Kubernetes.
• Experience mentoring and leading technical teams preferred.
• Familiarity with healthcare data standards like FHIR and DICOM.

Responsibilities

• Design and deploy clinical applications and technologies independently.
• Engineer new workflows or optimize existing processes.
• Lead high-complexity application implementation projects.
• Analyze current systems to recommend enhancements.
• Identify product requirements for effective configuration.
• Mentor senior analysts and support team problem-solving.
• Collaborate with clinic leadership to improve operations.

Skills

Python

TensorFlow

PyTorch

DevOps

MLOps

Leadership

FHIR

DICOM

Education

Bachelor's degree

Tools

Docker

Kubernetes

Azure

Job description

Ladders is seeking a Systems Architect 2, MLOps Engineer to shape and support advanced technology solutions that improve clinical operations and service delivery for our client in Education, Government & Non-Profit space.

This remote role owns the design, implementation, and optimization of workflows connecting technical architecture with operational needs, and collaborates with clinic leadership to drive enhancements while mentoring analysts and engineers.