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At FactoryPal, we’re redefining how factories perform—connecting shopfloors through cutting-edge software to improve transparency, efficiency, and decision-making. Our B2B SaaS solution empowers manufacturers to optimize performance and reach new levels of operational excellence. Backed by Valmet and Körber, FactoryPal combines the energy of a start-up with the reach and credibility of two global leaders in industrial technology. Headquartered in Berlin, we’re scaling a solution that’s already transforming manufacturing operations across tissue and other sectors.
Job Responsibility:
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
Requirements:
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 we offer:
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