As a pivotal member of our team, we are seeking an expert in Artificial Intelligence and software deployment to fill the role of AI Infrastructure Engineer. This highly technical position involves supporting the development and deployment of machine learning models, ensuring seamless integration with existing systems and guaranteeing optimal performance.Key ResponsibilitiesDesign, build, and maintain infrastructure for AI model deployment, focusing on GPU-based solutions and optimizing deep learning model execution.Implement and manage Continuous Integration and Continuous Deployment (CI / CD) pipelines for model updates, collaborating closely with data scientists and engineers.Develop and implement strategies for versioning and monitoring deployed models, utilizing tools like Docker and Kubernetes.The ideal candidate will possess strong experience in Python scripting, as well as proficiency with ML lifecycle tools such as MLflow and DVC. Familiarity with infrastructure as code and monitoring tools is also essential. If you are passionate about MLOps and DevOps engineering and have the necessary skills, please submit your application or send your C.V.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.