Machine Learning Operations Engineer

About the role

DigeHealth is advancing gastrointestinal health monitoring with wearable technology. As a Machine Learning Operations Engineer you will design, deploy and maintain ML solutions that support patients, researchers and physicians, directly influencing clinical outcomes.

Key responsibilities

• Build scalable systems for deploying ML models in cloud environments.
• Create automated pipelines for continuous data ingestion, model training and evaluation.
• Manage large, growing datasets with cost‑efficient, scalable storage solutions.
• Ensure data quality and usability for production‑grade models.
• Take ownership of tasks in a fast‑paced startup, navigating ambiguity and delivering results.

Required profile

• Bachelor's or Master's degree in Computer Science or a related field.
• Hands‑on experience with machine‑learning operations and CI/CD pipelines.
• Proficiency in Python programming.
• Experience deploying AI models in real‑world products.

Required skills

• Python
• Infrastructure as code (Terraform, Docker)
• Cloud platforms (Azure, AWS, GCP)
• GitHub workflows
• CI/CD for ML
• Data engineering for large datasets
• Production‑grade ML model deployment