MLOps/DevOps Engineer

This is a remote position. environment. We are looking for a highly motivated individual who can develop cutting edge MLOps and DevOps frameworks to deploy AI models. The candidate should have a solid grasp of state-of-the-art cloud technologies, best in class deployment architectures/frameworks and production grade software. Finally, the role requires strong team and interdisciplinary collaboration to see products through the development cycle from beginning to end. Core Job Responsibilities: Develop end-to-end pipelines encompassing the ML lifecycle from data ingestion, data transformation, model training &validation, model deployment & serving, and model evaluation over time. Collaborate closely with AI scientists to accelerate productionization of ML algorithms. Setup CI/CD/CT pipelines for ML algorithms. Deploy models as a service both to cloud and on-prem edge. Manage a team of DevOps/MLOps engineers. Learn and apply new tools, technologies, and industry best practices.