ServiceNow

Job description

Responsibilities:

• Define scalable and secure architectures, frameworks and pipelines for building, deploying and diagnosing production ML applications.
• Enable users & teams on the ML platform; troubleshoot and debug user issues; maintain user-friendly documentation and training.
• Collaborate with entire MLOps Platform team to build a comprehensive MLOps Platform.
• Design and implement cloud solutions and build MLOps pipelines on cloud solutions (e.g., MS Azure)
• Develop standards and examples to accelerate the productivity of data science teams.
• Write code, refactoring, optimizing, containerization, deployment, versioning, and monitoring of its quality, including data & concept drift.
• Create way to automate the testing, validation, and deployment of data science models.
• Mentor Junior MLOps Engineers and help teach them to be better coders, debuggers, and engineers.
• Provide best practices and execute POC for automated and efficient MLOps at scale.