ML Ops Engineering Leader for Strategic AI and Data Insights

Transform AI initiatives with your expertise as an ML Ops Engineer. Spearhead the design and deployment of machine learning solutions, enhancing strategic data insights effectively. In this senior role, you will operationalize machine learning solutions while monitoring lifecycle processes. Collaborating with diverse teams, you will ensure compliance and robust hosting for advanced AI applications. Candidates should demonstrate strong capabilities in cloud infrastructure and production deployment to maximize efficiency and innovation within the organization. Key Responsibilities: • Lead the operationalization of machine learning platforms • Ensure effective monitoring and lifecycle management of models • Collaborate across data science, engineering, and security teams • Identify and validate data sources for actionable insights • Implement security and governance compliance protocols Requirements: • Proven expertise in ML systems engineering and deployment • Experience in cloud technologies like Kubernetes and GCP • Familiarity with CI/CD pipelines and container orchestration • Understanding of security governance and SSP compliance • Ability to engage with cross-disciplinary teams effectively Harness your technical skills to power AI-driven frameworks and promote a strong data-driven culture across the organization. #J-18808-Ljbffr