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
- Employee assistance program
- Wellbeing program
- Employee stock purchase program
Work Environment and Culture:
- Remote work opportunity with flexible work arrangements.
- Collaborative and dynamic work environment with a team of innovators and trailblazers.
- Opportunity to work on cutting-edge AI and machine learning projects.
- Professional development and growth opportunities.
Why Join Stryker?
At Stryker, we're committed to making a positive impact on the healthcare industry. As a Principal MLOps Engineer, you'll have the opportunity to work on projects that have the potential to transform the lives of patients and healthcare professionals. Our company culture values innovation, collaboration, and continuous learning, and we're looking for talented individuals who share these values.
How to Apply
If you're excited about this opportunity and think you have what it takes to join our team, please apply now. We can't wait to discuss how you can become a vital part of our success story.
Apply Now
Apply Now