Senior Machine Learning Engineer

Ready to shape the future of smart manufacturing?

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.

Profile

We're looking for a Senior Machine Learning Engineer, someone who sits at the intersection of data science and data engineering: you've both built models that solve real problems and engineered the pipelines that put them into production. AI Engineering will be a component of this role, but it is not the focus.

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

P

rofessional 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