- Collaborate with data scientists and engineers to design, build, and maintain Azure-based MLOps pipelines for automating machine learning model deployment, monitoring, and maintenance.
- Configure and manage Azure cloud resources to support machine learning workloads efficiently.
- Run Sprint Planning meetings to collaborate and define the sprint goals
- Manage the ADO board to write user stories and tasks and lead daily scrum calls
- Lead the biweekly sprints to achieve and track sprint goals
- Define, track and publish sprint metrics to measure efficiency and effectiveness
- Align team goals towards achieving sprint goals
- Publish and lead Weekly Status Reports, Monthly Governance and Quarterly Business Reviews
- Work alongside data engineers to develop and maintain data pipelines on Azure, ensuring proper data governance and integration with MLOps pipelines.
- Ensure that MLOps processes on Azure adhere to security and regulatory standards.
- Implement Azure-based security measures and model explainability practices.
- Implement and maintain integration and deployment pipelines
- Monitor and troubleshoot application and infrastructure issues and implement solutions in a timely manner
- Collaborate with development and BI teams to ensure code quality and application performance
- Stay updated on the latest Azure MLOps tools and services and integrate improvements into existing processes.
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MLOps Engineer
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MLOps Engineer
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Lead MLOps Engineer - Dallas, United States - InfoVision, Inc.
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Description
Hi,
Please review the below job requirement and let me know if you are good to submit with the below details filled and your latest resume ASAP.
Job Title: Lead MLOps Engineer
Location: Dallas TX (onsite Role)
Duration: 12+ Months
Responsibilities: