Staff Engineer- MLOps

About the role

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.

What you'll do

• Design, develop, and maintain high-performance, scalable MLOps systems and pipelines that interact with AI models and systems.Build and operate end-to-end ML workflows…
• Cooperate with cross-functional teams, including data scientists, AI researchers, and AI/ML engineers, to understand requirements, define project scope
• 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

What you need

• 7–10 years in data science & ai
• MLOps
• Machine learning
• Python
• ETL
• TensorFlow
• Data modelling
• B.Tech or B.E. or B.Sc or BCA

Good to have

• R
• PyTorch
• Azure
• CI/CD
• Power BI
• Grafana