Sr. Staff MLOps Engineer (REMOTE)

Stryker Group; Lansing (MI); Remote; USD 115,000 - 245,000; Full time

Job summary

A leading company in healthcare technology seeks a Sr. Staff MLOps Engineer to drive innovation in AI and ML applications. In this role, you will design high-performance systems, troubleshoot complex software integrations, and collaborate with cross-functional teams to contribute to groundbreaking healthcare solutions.

Qualifications

• 6+ years of experience in machine learning operations or software/platform development.
• Strong knowledge of programming languages commonly used in AI/ML.
• Experience with Azure cloud platform and machine learning services.

Responsibilities

• Design and maintain MLOps systems that interact with AI models.
• Collaborate with data scientists and engineers to define project scope.
• Contribute to CI/CD pipeline development and high-performance data solutions.

Skills

Programming in Python

Programming in R

Programming in C++

MLOps systems design

Troubleshooting software problems

Education

Bachelor's degree in Software Engineering/Computer Science

Tools

Azure

TensorFlow

PyTorch

Keras

Git

Jenkins

Docker

Kubernetes

Terraform

Azure DevOps

Job description

What You Will Do:

As a valued member of Stryker’s AI innovation unit, you will work alongside trailblazers, industry visionaries, innovators, and inventors who are committed to bringing computer vision, AI/ML and digital innovation to the operating room and other healthcare settings. You’ll contribute to fast-paced cycles of innovation and develop core technologies that power a wide array of Stryker’s solutions, including: surgical robotics and navigation, image-guided surgery, treatment selection, outcome assessment, and clinical decision intelligence. You will apply your core skills across a range of deployment platforms spanning from mobile applications, cloud services, and SDKs to embedded systems, edge devices, and mixed reality (XR) platforms. You will have an opportunity to work across a wide variety of therapeutic areas ranging from orthopedics and neurosurgery to emergency care and operating room safety and efficiency – plus many more.

We are in search of a skilled and experienced Sr. Staff MLOps Engineer to join our team, with a focus on building systems and applications that interact with AI models in a cloud-native (Azure) environment. In this position, you'll be responsible for designing, developing, and maintaining complex software applications that flawlessly integrate with state-of-the-art AI and machine learning technologies.

• Design, develop, and maintain complex, high-performance, and scalable MLOps systems that interact with AI models and systems.
• Cooperate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope, and ensure alignment with business goals.
• Offer technical leadership and expertise in choosing, evaluating, and implementing software technologies, tools, and frameworks in a cloud-native (Azure + AML) environment.
• Troubleshoot and resolve intricate software problems, ensuring optimal performance and reliability when interfacing with AI/ML systems.
• Participate in software development project planning and estimation, ensuring efficient resource allocation and timely solution delivery.
• Contribute to the development of continuous integration and continuous deployment (CI/CD) pipelines.
• Contribute to the development of high-performance data pipelines, storage systems, and data processing solutions.
• Contribute to the creation and maintenance of technical documentation, including design specifications, API documentation, data models, data flow diagrams, and user manuals.

What You Will Need:

Required Qualifications:

• Bachelor's degree in Software Engineering/ Computer Science or related discipline
• 6+ years of experience in machine learning operations or software/platform development.
• Strong knowledge of programming languages commonly used in AI/ML, such as Python, R, or C++.
• Experience with Azure cloud platform, machine learning services, and best practices.

Preferred Qualifications:

• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with version control systems, such as Git, and CI/CD tools, such as Jenkins, GitLab CI/CD, or Azure DevOps.
• Knowledge of containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.

• $115k-245k salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location.Individual pay is based on skills, experience, and other relevant factors.