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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** ZEISS Group - **Location:** Oberkochen, Germany - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cloud Engineering, Software Quality, Continuous Integration, Software Design Patterns, DevOps, Github, Python (Programming Language), Machine Learning, Ansible, Azure Machine Learning, Software Engineering, Software Systems, Systems Integration, System Availability, Infrastructure as Code (IaC), Git, Containerization, Kubernetes, Information Technology, Bicep, Machine Learning Operations, Terraform, Software Version Control, Docker, Elk Stack - **Published:** July 15, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=876c27739a3ee613 ## About the Role * Engineering Foundation: You hold an excellent university degree in Computer Science, Software Engineering, or a related technical field. While we value advanced degrees, we prioritize professional experience in building production-grade software systems. * Python Expert: You have deep proficiency in Python and are an advocate for clean code, design patterns, and modular architecture. * Experience with C++ or C# is a significant advantage for integrating ML into our high-performance hardware systems. * DevOps & Orchestration: You have a "DevOps mindset" with hands-on experience in Docker and Kubernetes. * You are comfortable managing containerized workloads and understand the nuances of scaling services in a corporate environment. * Infrastructure as Code (IaC): You are skilled in automating infrastructure using tools like Terraform, Ansible, or Bicep, specifically within the Azure ecosystem. * Automation Specialist: You have a proven track record of designing and maintaining CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) that go beyond simple builds to include automated testing and deployment. * MLOps Tooling: You are familiar with (or eager to master) the ML lifecycle stack, such as MLflow, Kubeflow, or DVC, and you understand how to apply standard DevOps principles to the unique challenges of machine learning. * The "Bridge" Mindset: You enjoy the challenge of translating "research-grade" code into stable, scalable products. * You are a strong communicator who can mentor researchers on engineering best practices without stifling their creativity. * Project Leadership: You have a structured approach to work, with experience in technical scope definition, backlog management, and coordinating with cross-functional teams This position is not remote ## Description * Architect the ML Platform : Design, implement, and maintain a robust MLOps infrastructure that enables researchers to move seamlessly from local experimentation to global production. * Productionalize Research: Act as the "Engineering Bridge" by transforming experimental research code into modular, high-performance, and maintainable Python/C++ software packages. * Automation & CI/CD : Build and manage sophisticated automated pipelines for testing, building, and deploying ML models across diverse ZEISS product environments (Cloud, Edge, and On-premise). * Infrastructure as Code (IaC) : Own the provisioning and scaling of our research computing environments using Terraform and Ansible, ensuring high availability and resource efficiency. * Establish Engineering Standards: Define and promote best practices for the entire department, including version control (Git), containerization (Docker), code quality (linting/testing), and documentation. * Observability & Lifecycle Management: Implement advanced monitoring and logging solutions (e.g., MLflow, ELK stack) to track model performance, data drift, and system health in real-world applications. * Collaborative Consulting: Serve as the internal expert and consultant for scientists, helping them optimize their workflows and navigate the complexities of modern cloud and hardware environments. ## About ZEISS Group ZEISS is technology, optics and innovation. We develop, manufacture and sell highly innovative products and solutions for our customers in a variety of business fields. As one of the world’s top technology companies with a portfolio aligned with future growth areas like digitalization, healthcare and Smart Production, and a strong brand to boot, ZEISS is shaping the future far beyond the optics and optoelectronics industries. The company’s significant, sustainable investments in research and ... **Tech Stack:** Java, .NET, Node.js, C#, Angular, React, Kubernetes, Software Architecture, C++, Python **Industries:** Electronics, Information Tech, Manufacturing, Medical Devices, Computer Software, Industrial Automation, R&D [Company profile](https://www.wearedevelopers.com/companies/1031-zeiss-group) ### More Jobs at ZEISS Group - [Senior Threat Intelligence Analyst](https://www.wearedevelopers.com/jobs/ext/2000909-senior-threat-intelligence-analyst) - [Endpoint Security Engineer - OT](https://www.wearedevelopers.com/jobs/ext/1998712-endpoint-security-engineer-ot) - [Senior Cybersecurity Incident Responder](https://www.wearedevelopers.com/jobs/ext/1999049-senior-cybersecurity-incident-responder) - [praxissemester-softwareentwicklung-inbetriebnahme-und-servicesoftware-m-w-x](https://www.wearedevelopers.com/jobs/ext/1999035-praxissemester-softwareentwicklung-inbetriebnahme-und-servicesoftware-m-w-x) - [Digital Forensic Analyst](https://www.wearedevelopers.com/jobs/ext/1982266-digital-forensic-analyst) ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Machine Learning in ML.NET](https://www.wearedevelopers.com/videos/272-machine-learning-in-ml-net) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies)