Job Title: MLOps Manager / System Development Manager
Location: 100% Remote - EST time zone
Duration: 6 Months Initial - open to Contract to Hire but must live in one of the following states for full-time conversion consideration - MD, DE, PA, WV, VA, or Washington, D.C.
Job Scope:
Seeking an MLOps Manager to oversee clinical decision support applications that are being built in Azure. This includes Azure infrastructure build, cost management, virtual machines, and public/private networking. Must have healthcare data architecture knowledge in MS Fabric, Databricks, or MS Synapse.
Responsibilities:
- Lead, mentor, and manage a team of software and platform engineers responsible for AI solution development, MLOps infrastructure, and data platform administration.
- Drive the successful delivery of applied AI projects, including LLM-enabled applications, clinical decision support tools, and patient cohort analytics.
- Oversee the development and enhancement of cloud-based data platforms, ensuring reliable, secure, and performant access to health system and research data.
- Partner with enterprise data engineering and analytics teams to advance our platform strategy, including adoption of Microsoft Fabric and Databricks for modern ETL, mirroring, and data productization.
- Own and evolve the team’s engineering practices, including source control workflows, CI/CD pipelines, IaC, observability, testing, and release processes.
- Partner with your Enterprise IT Architect team member on architecture decisions related to AI/ML systems, data platforms, and APIs, balancing performance, maintainability, and security.
- Support responsible AI development by contributing to risk assessments and governance reviews.
- Collaborate closely with IT, research, clinical, and vendor partners to translate needs into buildable technical plans.
- Support team growth and cohesion, and enable a culture of collaboration within and outside your immediate team.
