Vitestro is pioneering the future of blood collection with the Aletta Autonomous Robotic Phlebotomy DeviceTM. We are scaling our impact and expanding our team to ensure successful implementation and long-term reliability. Join us as our new MLOps Engineer and play a critical role in improving our machine learning models.
Requirements
- Design, implement and optimize cloud-based data processing and model training pipelines
- Enable software engineers to get valuable insights into model training performance and ML data
- Enable engineers to efficiently and interactively experiment with data and models in a cloud environment
- Enable efficient and traceable ML model deployments and model monitoring
- Collaborate with software engineers and the clinical team to ensure new data can be annotated efficiently and with high quality
- Work closely with functional architects and the cloud team to understand requirements and deliver secure and scalable ML pipelines in our AWS-based cloud platform
Benefits
- Competitive salary
- Pension plan
- 25 days of annual leave
- Hybrid work model
- Training budget
- Frequent out-of-work activities with the team