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About the Role

FactoryPal is redefining factory performance through cutting-edge B2B SaaS, connecting shopfloors to improve transparency, efficiency, and decision-making. We are seeking a Senior Machine Learning Engineer to develop and deploy sophisticated ML models and engineer robust ML pipelines.

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.

Requirements

• Professional working proficiency in English
• 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

Skills

• Python
• pandas
• NumPy
• scikit-learn
• PyTorch
• AWS
• SQL
• CI/CD
• Infrastructure-as-Code (IaC)
• MLOps
• AI coding assistants
• agentic AI workflows

Location

• Berlin

Work Type

• Hybrid

Experience Level

• Senior
• 3+ years

Education Level

• Bachelor's degree
• Master's degree

Benefits

• Competitive salary
• 30 days vacation
• Dedicated training budget and training days
• Subsidized Wellhub membership

About the Company

• FactoryPal is 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.
• Valmet is a global technology leader serving process industries.
• We work together with our customers throughout the entire lifecycle, delivering cutting-edge technologies and services as well as mission-critical automation and flow control solutions.
• Backed by more than 225 years of industrial experience and a global team of over 19,000 professionals close to customers, we are uniquely positioned to transform industries toward a regenerative tomorrow.
• In 2024, Valmet’s net sales totaled approximately EUR 5.4 billion.
• Our head office is in Espoo, Finland, and we have experts in approximately 40 countries around the world.
• Valmet’s shares are listed on Nasdaq Helsinki.

Equal Opportunity

• To protect our candidates' privacy, Valmet will never ask any personal information such as banking information or social security number during the recruitment process.