Software Engineer (m/f/d) Focus on MLOps
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 head quartered in Hanau, Germany, we combine materials expertise and techno logical leader ship 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 inno vations 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 Digitali zation team at Heraeus, we know the challenges today's global manu facturing 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 colle agues 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, Optimi zation). In our Consulting team, we are always in close contact with each other. Openness and trust create room for personal and professional develop ment.
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 frame works for the deploy ment of AI models.
These include the connec tivity to input sources and output sinks, with all steps monitored and container ized. 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 seam lessly inte grated into our products and services.
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