Job Specifications
AI/ML Engineering Manager
6 Month Contract
100% Remote
Start Date: ASAP
Job Description:
The AI/ML Engineering Manager is a hands-on technical leader responsible for growing, and managing project efforts for, a small team of engineers tasked with delivering scalable, production-grade systems for the dual goals of clinical research data enablement and AI applications. The individual will guide the development of AI-powered clinical decision support tools, secure and scalable research data pipelines, and a reimagined enterprise analytics platform built on Microsoft Fabric and Azure Databricks. The ideal candidate combines deep technical skill with a focus on execution--able to design, build, and coach in equal measure.
Responsibilities:
Lead, mentor, and manage a team of software and platform engineers responsible for AI solution development, MLOps infrastructure, and data platform administration
Manage the execution & delivery of strategic projects related to EHR data de-identification using Azure DataBricks, and leading Microsoft-based AI solution development as a hands on product owner, leveraging Java/Python and aligning solutions with clinician needs
Drive the successful delivery of applied AI projects, including LLM-enabled applications, clinical decision support tools, and patient cohort analytics
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
*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 ELT, mirroring, and data productization
Required Qualifications:
Management or team lead experience
Azure-based app development
Python
LLMOPS and MLOPs platform experience (Mlflow, PromptFlow, etc.)
Experience with Generative AI and NLP tools (Azure OpenAI, John Snow Labs, etc.)
Healthcare experience
Preferred Qualifications:
Cloud data platforms including Microsoft Fabric, Databricks, and associated Azure services (e.g., OneLake, Delta Lake)
Specific healthcare data technologies like Epic Cogito, FHIR, and OMOP
About the Company
Medasource is a leading consulting and professional services firm serving the healthcare industry, including Life Sciences, RCM/Payers, Technology, and Government. We've been recognized by both KLAS and Modern Healthcare for being good to our employees, consultants, clients, and communities. With over 100 clients, more than 2,000 active consultants, and over 30 locations across the U.S., we're focused on propelling the future of healthcare, one client at a time. Visit medasource.com to learn more today! Medasource is an equa...
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