Senior Machine Learning Engineer
Valmet GmbH
Berlin, Germany
4 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Berlin, Germany
Tech stack
Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Data analysis
Cloud Computing
Software Quality
Continuous Integration
Python
Machine Learning
NumPy
Standard Sql
Software Engineering
Management of Software Versions
Data Processing
PyTorch
System Availability
Large Language Models
Pandas
Core Data
Scikit Learn
Infrastructure Automation Frameworks
Real Time Data
Machine Learning Operations
Stream Processing
Data Pipelines
Job description
- 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
- 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, * 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
Benefits & conditions
- 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
About the company
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., 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.