Principal MLOps Engineer - Remote - AI Innovation Unit at Stryker

Join the AI Revolution in Healthcare with Stryker

Imagine being part of a team that is revolutionizing the healthcare industry with cutting-edge AI and machine learning technologies. At Stryker, we're committed to bringing computer vision, AI/ML, and digital innovation to the operating room and other healthcare settings. As a Principal MLOps Engineer, you'll have the opportunity to work alongside trailblazers, industry visionaries, innovators, and inventors to develop core technologies that power a wide array of Stryker's solutions.

About the Role

We're seeking a skilled and experienced Principal MLOps Engineer to join our AI innovation unit, with a focus on building systems and applications that interact with AI models in a cloud-native (Azure) environment. As a principal engineer, you'll offer technical leadership, mentor other team members, and play an instrumental role in fostering innovation and delivering high-quality software solutions.

Key Responsibilities:

• 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 boundaries, 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 creation and maintenance of technical documentation, including design specifications, API documentation, and user manuals.

Requirements and Qualifications

Essential Qualifications:

• A minimum of 6 years of experience in machine learning software development, with at least 2 years in a senior or principal role.
• Profound understanding of machine learning concepts, technologies, and integration techniques.
• Strong knowledge of programming languages commonly used in AI/ML, such as Python, R, or C++.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.
• Experience with Azure cloud platform, machine learning services, and best practices.
• Experience with Agile methodologies (Scrum, Kanban) and project management tools such as Jira or Azure DevOps.
• Experience with version control systems, such as Git, and CI/CD pipelines.
• Knowledge of containerization technologies like Docker and Kubernetes, and infrastructure-as-code tools such as Terraform or Azure Resource Manager (ARM) templates.

Preferred Qualifications:

• Bachelor's degree completed in Computer Science or a related field.
• 8+ years of relatable work experience.

What We Offer

Compensation and Benefits:

• Competitive salary: $122,800 - $271,400 per year, plus bonus eligible.
• Comprehensive benefits package, including:
  • Health insurance
  • Vision insurance
  • Dental insurance
  • 401K plan