Job
In this role, you will develop production-grade AI/ML models, integrate them into systems, and automate processes with CI/CD. You will implement modern ML algorithms in production environments and work on scalable APIs.
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Job technologies
Your role in the team
- Deliver AI projects that grow our AI business unit.
- Build, integrate, and evaluate production-grade AI/ML models and demonstrators.
- Track and translate cutting-edge AI research into working solutions.
- Gestalten und schützen Sie unser geistiges Eigentum im Bereich KI.
- Design scalable APIs, data pipelines, and backend infrastructure.
- Automate builds, tests, and deployments (CI/CD, infrastructure-as-code).
- Uphold rigorous testing, documentation, and security standards.
- Work cross-functionally to embed AI into our product portfolio.
Our expectations of you
Education
- A degree in Computer Science, Engineering or a related field.
Qualifications
- Strong programming skills in Python and/or C++ (OOP, clean code, design patterns).
- Deep knowledge of ML algorithms, data preprocessing, and at least one major framework (e.g. PyTorch, TensorFlow).
- Fluent English and the ability to explain complex ideas clearly.
- German skills are helpful for local collaboration.
- An analytical, independent mindset - and curiosity for sustainable, future-ready tech.
Experience
- 3+ Jahre Erfahrung in angewandter KI, mit der Umsetzung von Lösungen für die Praxis.
- Practical experience with MLOps: web servers (e.g., Apache, Nginx), Docker, Kubernetes, CI/CD, cloud platforms (AWS, Azure, GCP), and version control systems (Git).
What we offer
- We're an independent startup with room to grow, build, and shape from the ground up.
- You will work in a motivated team that values clarity, collaboration, and meaningful innovation.
Topics you will work on
Job locations
About your employer
WAIYS is a Norwegian-German tech company based in Dresden that focuses on simplifying the implementation of AI in the real estate sector. It combines AI software, infrastructure, and domain knowledge into modular SaaS solutions for investors, developers, and managers.
- Startup
- Onsite, Hybrid
- Internet, IT, Telecommunication
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