Your contribution to something big:
As an MLOps Engineer, you will design and implement the solution鈥檚 infrastructure鈥攂oth cloud and on-prem鈥攁s well as the functional flows required for the complete model lifecycle, including automated evaluation and governance. You will also develop extensions and tools that improve model monitoring, experiment management, and workflow automation. Supporting project teams and integrating their use cases into the Data Loop will be a key part of the role.
- Design, implement, integrate, and maintain ETL pipelines of different data types, helping onboard new customers by connecting their data sources to the platform.
- Implement Infrastructure as Code (IaC) solutions for provisioning and managing cloud (Azure) and on-premises resources using Terraform.
- Implement robust security measures to protect sensitive Data and ML models in both cloud and on-premises environments.
- Implement and/or integrate tools to deliver a state-of-the-art MLOps solution according to best practises.
- Develop and implement monitoring dashboards and alerts to proactively identify and resolve platform issues.
- Work closely with data scientists, software engineers, and infrastructure teams to deliver a high-quality solution.
- Communicate effectively with stakeholders at all levels, including technical and non-technical audiences.
- Stay up to date with the latest MLOps trends and technologies and share knowledge and expertise with colleagues working on other projects and domains.
- Participate in code reviews and contribute to the development of best practices.
馃憠 Find out more about the project here