Job Description
Solutions from the Heraeus Group provide faster internet, eliminate water of germs, and keep hearts beating in time. As a family-owned global technology group headquartered in Hanau, Germany, we combine materials expertise and technological leadership to create the most diverse products, all with one thing in common: World-class quality. Working with customers around the world, we shape the future and provide vital innovations in the areas of Metals & Recycling, Healthcare, Semiconductor & Electronics and Industrials. Heraeus is one of the top 10 family-owned companies in Germany and has a team of around 16,400 employees in 40 countries.
About our Corporate Digital and Consulting Team
As Corporate Consulting and Digitalization team at Heraeus, we know the challenges today's global manufacturing and service companies face. We work on key topics that are highly relevant for the performance of the Heraeus Group and thus create real added value side by side with our colleagues in the Operating Companies. We have deep expertise in Supply Chain Excellence (e.g., Operations, Lean Six Sigma) and Commercial Excellence (e.g., Marketing and Sales). We drive digital innovation in our Operating Companies in many different areas, such as Digital Customer Experience (e.g., eCommerce, Web, CRM, Customer Analytics), IoT (e.g., Machine Connectivity, Robotics, Automation, Metrology) and Data Science (e.g., AI, Data Engineering, Optimization). In our Consulting team, we are always in close contact with each other. Openness and trust create room for personal and professional development. GROW with us and let's get EXCELLENT together.
Main task of a Software Engineer with focus on MLOps is to create a robust, performant, and self-healing edge or cloud frameworks for the deployment of AI models. These include the connectivity to input sources and output sinks, with all steps monitored and containerized. As a Software Engineer with focus on MLOps, you will play a crucial role in building and scaling our ML systems, ensuring they are robust, scalable, and seamlessly integrated into our products and services.
- Design, build, and maintain the infrastructure and tools to deploy, monitor, and manage ML models in production.
- Work closely with data scientists and data engineers to create scalable, efficient, automated pipelines that ingest, process, and analyze large datasets.
- Responsibility for orchestrating and scheduling platforms (e.g., Dataiku) and solutions.
- Implement robust data validation and testing frameworks to ensure the accuracy and integrity of data and models.
- Collaborate with cross-functional teams to ensure that ML solutions meet business requirements and align with company goals.
- Responsible for interfacing to hardware such as cameras – GPIO ports or sensors.
- Equivalent job experience or a Master's in Computer Science, Engineering, Physics, or a related field
- At least 2 years of experience in a role focusing on ML model deployment, management, and scalability
- Solid knowledge of Linux and networking protocols (udp, grpc, mqtt), including kernel configurations and yocto builds
- Expert knowledge in microservice architecture: docker, Kubernetes, streaming (kafka), logging and database (redis, sql) architectures
- General knowledge about MLOps concepts (e.g., reproducibility, testing, monitoring), with a focus on connecting different platforms (e.g., labeling platform, artifact store, training infrastructure) to drive automation
- Experienced with model deployment frameworks such as NVIDIA Triton inference server, and with programming streaming solutions with deepstream for Nvidia edge hardware: Jetson Xavier / Orin
- Expert knowledge in modern Python development, including knowledge about best practices package management, linting / formatting, data validation, general code design (design patterns), parallelization, and CI / CD with unit and integration tests
- Profound experience with cloud services (e.g., AWS, Azure, Google)
- Advanced knowledge in C, C++. Familiar with.NET is a plus
- Empowerment & Career Development — value-adding projects including multiple insights, high visibility and a cross-functional network enabling a future transition into a management or leadership role within the Heraeus Group
- Top projects with high impact — You will always work on key topics that are highly relevant for the performance of the Heraeus Group and thus create real added value side by side with our colleagues in the business units
- Strong salary package — attractive basic salary, performance-related components & profit-sharing and support for private pension plan
- Hybrid working and regular time off — a combination of remote and on site working, 30 days annual leave plus up to 6 additional days off (company closures on bridge days and between years), special leave for special occasions, life phase account for paid time off (e.g. sabbatical, earlier retirement)
- Additional benefits — on site-subsidized public transport, company medical service with comprehensive vaccinations and preventive medical check-ups, sport offers at our Heraeus Balance Point, delicious and healthy dishes in our canteen and social counseling to foster and ensure mental health