Staff Machine Learning Engineer System Integration

ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies.

Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world.

ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy.

Job Description

ELLKAY is seeking a staff-level machine learning engineer who can do more than build models. This role is for an engineer who can design, integrate, and operate AI-powered systems across products, data pipelines, APIs, enterprise applications, and workflow engines in production settings.

The ideal candidate combines strong machine learning fundamentals with deep systems thinking. This person understands how to connect models, rules, messaging, data transformations, and operational software into reliable end-to-end solutions, especially in environments where interoperability, security, and uptime matter.

This role sits at the intersection of machine learning engineering, backend engineering, systems integration, and platform architecture. The focus is not on isolated model experimentation alone, but on building production-grade AI workflows that move data across systems, trigger downstream actions, and create measura...