Machine Learning Operations Engineer

Your responsibilities will include:Infrastructure Design and Deployment:* Architect and maintain scalable, reliable, and efficient infrastructure for deploying and running Machine Learning models in production environments.* Collaborate with DevOps and IT teams to ensure the smooth integration of ML systems with existing infrastructure.Automation and CI/CD:* Develop and implement automated processes for deploying, monitoring, and scaling Machine Learning models.* Work closely with data scientists and software engineers to establish and maintain continuous integration and continuous deployment (CI/CD) pipelines for Machine Learning workflows.Monitoring and Performance Optimization:* Implement robust monitoring solutions to track the performance of deployed models, infrastructure and overall system health.* Proactively identify and address issues related to model drift, data quality, and system reliability.Collaboration and Communication:* Collaborate with cross-functional teams, including program managers, data scientists, software developers, domain experts, and other stakeholders to facilitate the deployment and operationalization of Machine Learning models.* Clearly communicate technical concepts to non-technical team members and stakeholders.Security and Compliance:* Implement security best practices for Machine Learning systems, ensuring the protection of sensitive data.* Ensure compliance with relevant regulations and industry standards.Documentation and Knowledge Sharing:* Create and maintain comprehensive documentation for deployment processes, system architecture, and best practices* Facilitate knowledge sharing across teams to enhance the overall understanding of Machine Learning Operations.