**About the Role
**Yukawa is looking for a Senior Data & AI Engineer to design scalable data
architectures and develop AI applications for predictive forecasting and intelligent
automation. 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.

Tasks

• Design and implement scalable data architectures and ML pipelines
• Develop AI models for forecasting, control, and optimization
• Build and deploy AI-powered APIs and microservices in production
• Conduct data analysis and feature engineering for customer projects
• Collaborate with clients and internal teams to define data and AI solutions
• Apply best practices in MLOps, experiment tracking, and model lifecycle management

Requirements

• Minimum 5 years of experience in Data Science, Machine Learning, or AI Engineering
• Experience in consulting or software development projects
• Strong Python skills e. g. with TensorFlow, PyTorch, scikit-learn
• Data engineering experience with e. g. Pandas, NumPy, Spark, MLflow
• Deployment knowledge e.g. with FastAPI, Docker, Kubernetes, ONNX
• Data management experience using PostgreSQL, BigQuery, MinIO, or Data Lakes
• Familiarity with Airflow and Grafana for MLOps and monitoring
• Degree in Computer Science, Data Science, Engineering, or a related field
• Strong communication and presentation skills
• Agile mindset and hands-on approach
• Residence in Germany required

Benefits

• Flexible work environment with remote or hybrid options
• Competitive compensation and international projects
• Pension scheme
• Employee Benefits
• Flexible Working Times and Vacation Policy
• Opportunities to make an impact with experienced architects and developers
• Personal development and growth opportunities
• Budget for conferences and education
• Technology of your choice

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