Join ZOLLER Southeast Asia’s engineering team to drive AI‑powered solutions for industrial measurement. You’ll work on cutting‑edge machine‑learning pipelines and full‑stack web applications that connect directly to ZOLLER devices. The position offers hands‑on exposure to both AI research and production‑grade software engineering.
What You’ll Do
- Design, train, and fine‑tune AI models for image and measurement data.
- Build and automate MLOps, CI/CD, and deployment workflows.
- Manage data and model versioning using Git and container tools.
- Optimize performance of AI hardware and benchmark models.
- Develop modern web dashboards and REST APIs for internal users.
- Implement authentication, authorization, and data‑management services.
- Integrate AI models, image data, and ZOLLER devices into backend services.
What You Need
- Bachelor’s degree in Computer Science, Data Science, AI or related field.
- Strong Python programming skills.
- Experience in software development with modern web technologies (REST, FastAPI/.NET, C#).
- Hands‑on knowledge of PyTorch or TensorFlow.
- Proficiency with Docker, Kubernetes, Git, CI/CD pipelines, and Linux.
- Familiarity with computer vision and relational databases.
- Ability to work independently, structured, and in interdisciplinary teams.
The Opportunity
The role combines machine‑learning/MLOps responsibilities with full‑stack backend development, directly supporting ZOLLER’s measurement hardware. You’ll contribute to innovative solutions for industrial imaging and sensor data.