Senior Data & AI Engineer (m/f/d)

**About the Role**Yukawa is looking for a Senior Data & AI Engineer to design scalable dataarchitectures and develop AI applications for predictive forecasting and intelligentautomation. You will work on projects that combine AI, IoT and cloud technologies,helping clients across industries turn their products and systems into smart, data-driven solutions that set them apart.**About Yukawa**Yukawa is a leading provider of tech solutions, IoT ecosystems and intelligent software for new ventures and enterprises. We design and implement end-to-end systems across hardware, cloud and applications, connecting devices, data and people.What sets us apart is how we work. We build long-term partnerships with our clients, working closely with their teams to understand their goals and challenges. This collaboration allows us to deliver projects that are not only technically strong but also tightly aligned with real business needs.As a remote-first engineering company, we value technical excellence, curiosity and teamwork. Our teams work with modern data platforms, AI frameworks and scalable architectures to deliver reliable, maintainable and high-impact solutions.TasksDesign and implement scalable data architectures and ML pipelinesDevelop AI models for forecasting, control, and optimizationBuild and deploy AI-powered APIs and microservices in productionConduct data analysis and feature engineering for customer projectsCollaborate with clients and internal teams to define data and AI solutionsApply best practices in MLOps, experiment tracking, and model lifecycle managementRequirementsMinimum 5 years of experience in Data Science, Machine Learning, or AI EngineeringExperience in consulting or software development projectsStrong Python skills e. g. with TensorFlow, PyTorch, scikit-learnData engineering experience with e. g. Pandas, NumPy, Spark, MLflowDeployment knowledge e.g. with FastAPI, Docker, Kubernetes, ONNXData management experience using PostgreSQL, BigQuery, MinIO, or Data LakesFamiliarity with Airflow and Grafana for MLOps and monitoringDegree in Computer Science, Data Science, Engineering, or a related fieldStrong communication and presentation skillsAgile mindset and hands-on approachResidence in Germany requiredBenefitsFlexible work environment with remote or hybrid optionsCompetitive compensation and international projectsPension schemeEmployee BenefitsFlexible Working Times and Vacation PolicyOpportunities to make an impact with experienced architects and developersPersonal development and growth opportunitiesBudget for conferences and educationTechnology of your choice