Job Description
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 creative, 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 looking for an MLOps/GenAIOps Engineer to own the end-to-end machine learning operations lifecycle. This role focuses on automating model training, evaluation, deployment, and monitoring workflows while partnering closely with our Full Stack AI/ML Engineers to ensure seamless production deployment of foundation models and classical ML systems. You'll build the infrastructure that enables rapid, safe iteration on AI/ML solutions that impact patient care
Essential Duties & Responsibilities
AWS SageMaker Operations & Orchestration
- Design and implement SageMaker Pipelines with complex DAG authoring for end-to-end ML workflows including data preprocessing, training, evaluation, and deployment
- Configure and optimize SageMaker Processing Jobs, Training Jobs (PyTorch/HuggingFace containers), and Managed Spot Instances for cost-effective model training
- Manage SageMaker Model Registry with versioning, lineage tracking, a
📌 Staff ML Learning Engineer (India)
🏢 ELLKAY
📍 India