Lead MLOps Engineer -Dallas TX (onsite Role)

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:

• 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.