Senior Machine Learning Engineer

• 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.

Do you have experience in Workday?, Do you have a Master's degree?, * 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, * 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

• 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

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 perfor mance 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.