Staff Engineer- MLOps
Stryker (company site, opens in a new tab)7–10 yrsBengaluruOn-siteDirect career pageEst. 30–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and maintain scalable MLOps systems and end-to-end ML workflows in a cloud-native Azure environment using Azure Machine Learning.
- Collaborate with cross-functional teams to align AI/ML deployment solutions with business goals, and troubleshoot complex software issues to ensure system reliability.
- Develop CI/CD pipelines, high-performance data pipelines, monitoring solutions with Power BI and Grafana, and mentor junior engineers on best practices.
Minimum Requirements
- Bachelor's degree or equivalent in Computer Science, Engineering, or related field.
- 7-10 years of relevant work experience including at least 4 years in machine learning operations or software/platform development.
- Proficiency with Azure Machine Learning platform and broader Azure cloud services, and programming in Python, R, or C++.
- Experience with machine learning frameworks (TensorFlow, PyTorch, Keras), containerization (Docker, Kubernetes), CI/CD tools, and monitoring tools (Power BI, Grafana).
Ideal Candidate Profile
- Experienced in architecting and operating ML systems specifically on Azure with strong MLOps and cloud-native software development focus.
- Skilled in managing complex workflows integrating cross-functional AI/ML teams and delivering robust, scalable production-grade ML infrastructure.
- Able to mentor technical teams on MLOps best practices and familiar with Agile project methodologies including Scrum and Kanban.