DigeHealth is pioneering advancements in gastrointestinal health monitoring through cutting-edge wearable technology. As a Machine Learning Operations Engineer, you will play a vital role in developing solutions for patients, researchers and physicians. This position offers an opportunity to use your expertise on impactful health tech innovation, contributing to better clinical outcomes and improved patient care. You will work closely with a dynamic, fast-paced startup team, requiring independence, creativity, and a proactive approach to solving complex challenges.

‍

• Model Deployment: Build scaleable systems for deployment of ML models in cloud infrastructure
• Continuous Training and Integration: Build automated pipelines for continuous ingestion of data, training and evaluation of models
• Data Engineering: Manage constantly growing datasets with scaleable and cost-efficient solutions
• Startup Contribution: Take ownership of tasks and navigate ambiguity in a fast-paced setting.
• Data Management: Ensure quality and usability of large datasets.

• Bachelor's or Master’s in Computer Science or related field.
• Machine learning operations and CI/CD experience
• Proficiency in Python
• Proficiency in infrastructure as code through tools such as Terraform and Docker
• Experience with large datasets and production-grade machine learning models.
• Experience deploying AI models in real-world products.
• Language: DigeHealth's working language is English. Proficiency in other languages is not required for this role.

Tooling-specific knowledge in the following areas is highly desirable:

• Data Engineering in Azure
• Experience with Github workflows
• Experience with Weights and Biases
• Familiarity with healthcare or biomedical applications

‍

Candidates should apply directly with CV and cover letter to hello@digehealth.ch

‍