At RIIICO were 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:
- Bachelors 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 were 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 ...
At RIIICO were 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:
- Bachelors 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
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