Your Role & Key Responsibilities
- Develop and deploy sophisticated machine learning models to solve key business challenges.
- Engineer and maintain robust, scalable ML pipelines for both real-time and batch data processing, ensuring high availability and performance.
- Manage the end-to-end ML lifecycle, from experimentation and versioning to monitoring and deployment, using modern MLOps principles.
- Apply best practices in software engineering, including CI/CD and Infrastructure-as-Code (IaC), to streamline model delivery and ensure reliability.
- Conduct in-depth statistical analysis and data exploration to extract actionable insights that guide product decisions and model development.
- Translate complex results into clear insights for technical and non-technical stakeholders.
Your Experience & Key Skills
- Bachelor's degree in Software Engineering, Data Science, STEM, or a related technical/quantitative field
- 3 years of experience as a Machine Learning Engineer, Data Scientist/Engineer, Software Engineer or similar role
- 4 years of experience in Python and its core data science libraries, including pandas, NumPy, scikit-learn, and PyTorch
- 3 years of experience building, managing, and scaling data pipelines
- 3 years experience with cloud technologies (preferably AWS)
- 2 years experience with SQL
- Hands-on experience integrating AI coding assistants and agentic AI workflows into the development process to boost productivity and code quality
Nice to Have
- Master's degree in Software Engineering, Data Science, STEM, or a related technical/quantitative field
- Experience with orchestration tools, preferably Airflow
- Experience with real-time data stream processing and model serving
- Experience with AI Engineering and LLMs
- Experience with ML lifecycle management tools like MLflow for experiment tracking and model registry
- Experience in manufacturing or IIoT
What You Get
- A central role in a fast-scaling corporate start-up backed by Valmet and Körber
- A chance to shape the manufacturing industry with new innovations
- Exposure to cutting-edge technologies like AI/ML, Industrial IoT, and Cloud SaaS
- High impact: direct influence on company growth and customer success
- Access to key decision makers across FactoryPal and our investors
- Flexible, hybrid work setup
- Competitive salary and 30 days vacation
- A dedicated training budget and training days
- Subsidized Wellhub membership giving you access to thousands of gyms, fitness studios, wellness services, and mental health resources worldwide
- An international, diverse, and high-performance team with a shared mission
Application Process
If you are interested in becoming part of the team, you can apply by March 6th, 2026, by filling in our online application form, attaching you CV in English.
Please kindly note that we do not accept applications or CVs via email.
If you have questions about the role, please contact the hiring manager Zach Eberhart, Head of Data Science. Email: zach.eberhart@valmet.com
Die personenbezogenen Daten, die Sie uns im Rahmen dieses Bewerbungsprozesses innerhalb unserer Bewerberplattform (Workday) zur Verfügung stellen, werden von dem Verantwortlichen, Valmet GmbH Marienburgstr. 35 64297 Darmstadt, zum Zwecke des Auswahlverfahrens für die angegebene Stellenanzeige verarbeitet. Rechtsgrundlage ist hier Art. 6 Abs. 1 lit. b DSGVO (Durchführung vorvertraglicher Maßnahmen). Die Daten werden nach Abschluss des Verfahrens, spätestens nach 6 Monaten, gelöscht. Sie haben das Recht auf Auskunft, Löschung, Sperrung, Datenübertragbarkeit und zur Beschwerde bei der zuständigen Aufsichtsbehörde.
