MLOps Engineer

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