At RIIICO, we’re reimagining how factories adapt to change. Our AI-powered software makes complex production environments editable, interactive, and collaborative – turning manufacturing planning into something anyone can engage with, not just the experts.
We are looking for a MLOps Engineer to complement our deep learning team and design a solid foundation for our ML models.
Tasks
* Designing and implementing ML infrastructure to build the foundation for our ML models in production
* Collaborate with AI researchers and engineers to bridge the gap between research and production
* Support engineers in integrating ML models into production, ensuring a smooth handoff from research to product teams
Requirements
Minimum requirements:
* Bachelor’s degree in computer science or related field
* Experience with working collaboratively in a dynamic and fast environment
* 2 years of professional coding experience, preferably with Python or Rust
* In-depth knowledge of S3, EC2, Kubernetes
* Working with backend APIs
* Hands-on experience deploying at least one machine learning model to production
* Fluent English communication skills
Nice-to-have
* Background in 3D vision, point cloud processing or similar topics
* Strong understanding of the ML lifecycle: data preparation → training → evaluation → deployment → monitoring
Benefits
* Additional vacation days
* Company stock options
* Flexible working hours
* Hybrid Office Culture
* Job Ticket, Urban Sports Club Membership, and more
At RIIICO, we’re building the future of agile manufacturing—and that spirit of adaptability shapes how we work, too. We believe in giving people the freedom to move fast, take ownership, and solve real-world problems with smart, purposeful tech. Our vision is bold: make powerful tools accessible to everyone in manufacturing, and empower teams to adapt with speed and confidence. If you’re driven by impact, thrive in ambiguity, and want to help reshape a global industry from the inside out, RIIICO is the place to do it.