DevOps Engineer (Azure MLOps)

About Us

ERGO Technology & Services S.A. (ET&S S.A.) was established in January 2021 following the integration of ERGO Digital IT and Atena into one entity, leveraging both companies’ strengths and best practices. As a part of ERGO Technology & Services Management AG, the technology holding of ERGO Group AG, we support millions of internal and external customers with state-of-the-art IT solutions to everyday problems.

In October 2022, ET&S S.A. expanded its scope of operations by creating a Business Services unit to contribute in a new way to the growth of ERGO’s business. Acting as a co-partner and internal consultant, it adds non-IT value and supports the development of the entire ERGO Group, currently offering skills in reporting, analysis, actuarial, and input management. We are committed to fostering innovation and meeting the evolving needs of our clients worldwide.

Discover how we implement AI, IoT, Voice Recognition, Big Data science, advanced mobile solutions, and business-related services to anticipate and address our customers’ future needs.

How you will get the job done

• driving MLOps Roadmap for end-to-end MLOps capabilities as a member of the Team
• providing expert skills on MLOps practices based on existing Azure Cloud stack
• leveraging standards of SW development and testing best practices, also for MLOps
• being responsible for the development, unit testing, deployment, and integration testing of capabilities
• developing and integrating Dataiku AI Governance Workflows and MR Extensions via Dataiku Plug-in
• providing support and automation for ML templating for our Data Scientists
• supporting, monitoring, and alerting solutions for deployment and test pipelines
• estimating complexity and planned effort for development tasks in Azure DevOps Backlog
• creating and automating CI/CD pipelines in Azure DevOps
• presenting and demonstrating product features within team reviews and for internal Stakeholders
• developing and sharing best practices for ML Engineering tasks with the internal MLOps community

Skills and experience you will need

• fluency in English
• 4+ years of experience as a Cloud DevOps Engineer or Cloud Engineer
• strong customer-oriented mindset
• passionate about making things work iteratively and automating + scaling them
• deep knowledge of software development and engineering in combination with ML models
• experience in development AML, Databricks, Dataiku, and API management
• experience in using popular MLOps frameworks like MLFlow
• proficiency in object-oriented programming with Python and other languages
• practical ability in creating build and release pipelines in Azure DevOps for ML artifacts
• experience in supporting real-time-inference scenarios with Azure Machine Learning and AKS
• knowledge of tools, methods, and frameworks used by data scientists (like PyTorch, and Tensorflow)

Nice to have

• German language skills
• experience with implementing enterprise-level compliance and risk management concepts