Senior Software Engineer, Data & ML

• Analyze customer data, develop machine learning models, and evaluate them against business and technical criteria
• Build and operate data pipelines, from connecting source systems through transformation to data delivery
• Turn models into production-ready services, including training, deployment, monitoring, and retraining
• Take ownership of backend development, including APIs, services, and integrations for data processing
• Develop tested, documented, and maintainable code
• Translate customers’ business questions into concrete use cases and assess feasibility based on available data
• Contribute to the reference architecture as part of the team and introduce innovative ideas
• Work on solutions for digital battery technology, GenAI, data management, traceability, and analytics

• Completed degree in computer science, mathematics, statistics, or physics
• At least three years of professional experience in customer projects
• Very strong Python skills and experience with pandas, NumPy, scikit-learn, and PyTorch or TensorFlow
• Knowledge of additional programming languages such as TypeScript or Java is an advantage
• Experience with LLMs, GenAI, and RAG architectures or fine-tuning
• Proficiency in SQL and relational databases
• Knowledge of OpenSearch is an advantage
• Experience with Git, Docker, and CI/CD
• Experience with MLflow, KServe, and Kubernetes is an advantage
• Genuine interest in customers’ business challenges
• Structured, reliable, and self-directed approach to work
• Pragmatic, hands-on mindset
• Business-fluent German
• Very good command of English

• Attractive fixed salary
• Bonus system with direct participation in the success achieved together
• Remote work with flexible working hours
• Appropriate hardware equipment
• Mentoring programs with experienced consultants and architects
• Opportunities for professional development
• Work with the latest technologies
• Short decision-making processes and flat hierarchies