About us

IDOVEN is a health tech startup seeking to prevent cardiac disease through AI. With our breakthrough AI-based electrocardiogram analysis platform, we work with physicians and healthcare leaders to enable early detection and diagnosis at scale.

This is a unique opportunity. With the backing of the best investors in the industry, the European Innovation Council (EIC) and Horizon 2020 European Commission, you'll have the responsibility and resources to shape the creation of a game-changing product that can save millions of lives.

Our technology is recognized with the European Seal of Excellence, supported by EIT Health (a network of best-in-class health innovators backed by the EU), and received the Healthy Longevity Catalyst Award from the U.S. National Academy of Medicine. In 2021, we were awarded at South Summit as Most Disruptive Startup and Best Health Startup. We are one of the most promising European technology companies to watch.

About the role

We're searching for a skilled and enthusiastic ML Engineer to join our growing platform team. You'll play a vital role in developing and maintaining the core infrastructure and tools that empower our machine learning engineers to efficiently train, experiment, and deploy models. This includes building solutions for data access, GPU resource management, experiment tracking, and streamlining the model deployment process.

Responsibilities:

• Design, develop, and maintain the tools and infrastructure that support our ML model training, experimentation, and deployment workflows.
• Develop systems for efficient access to and management of large datasets.
• Create solutions for optimizing GPU utilization and resource allocation.
• Integrate and maintain experiment tracking and monitoring tools (e.g., MLflow, TensorBoard).
• Develop and implement the processes for deploying ML models to production environments.
• Collaborate closely with ML engineers to understand their needs and provide effective solutions.
• Contribute to improving our ML development lifecycle and best practices.
• Troubleshoot and resolve issues related to the ML platform.
• Stay current with the latest advancements in ML platform technologies and best practices.