Senior Machine Learning Engineer - Platform

December 26, 2024

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Idoven

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Idoven is a pioneering company in the field of cardiology that utilizes artificial intelligence to enhance cardiovascular diagnostics and precision medicine. The company offers a unique cardiology-as-a-service platform that augments clinicians' abilities to identify, triage, and diagnose patients at a large scale. Idoven's platform integrates seamlessly with various ECG devices and electronic health records to provide rapid and accurate identification of cardiac anomalies. Trusted by leading life sciences and MedTech companies, Idoven's technology aims to improve patient outcomes and drive innovation in healthcare, particularly in the fields of arrhythmia detection and cardiac risk prediction. Its solutions include digital diagnostics, remote patient monitoring, and comprehensive preventative screening programs.

Artificial Intelligence • Cardiology • Cloud Platform • Data-driven Software

11 - 50 employees

Founded 2018

⚕️ Healthcare Insurance

🤖 Artificial Intelligence

🧬 Biotechnology

💰 Grant on 2022-06

📋 Description

• IDOVEN is a health tech startup seeking to prevent cardiac disease through AI. • This is a unique opportunity to shape a game-changing product that can save millions of lives. • You'll play a vital role in developing and maintaining core infrastructure and tools for ML engineers. • Responsibilities include developing ML model training and deployment workflows, optimizing resources, and troubleshooting platform issues.

🎯 Requirements

• 3-4 years of experience in a similar ML platform engineering role, ideally with experience deploying models to production. • A strong passion for building robust and scalable ML platforms. • A solid understanding of optimization techniques, multithreading, and distributed system concepts. • A firm foundation in computer science principles, including data structures, algorithms, and algorithm complexity analysis. • Experience building and maintaining software systems, preferably in a cloud environment (e.g., AWS, GCP, Azure). • Experience managing GPU resources, including driver management, access control, resource allocation, and memory management (NVidia, CUDA). • Familiarity with machine learning frameworks such as TensorFlow or PyTorch. • Experience with experiment tracking and model management tools (e.g., MLflow, TensorBoard). • Experience with containerization technologies (Docker, Kubernetes) and version control systems (e.g., GitHub). • Excellent problem-solving, communication, and collaboration skills. • Ability to work both independently and as part of a team. • Comfortable with a CI/CD approach, code reviews and collaborative development practices.

🏖️ Benefits

• Be part of one of the most disruptive startups in HealthTech and AI and make a difference • Personal and professional growth as part of a fast-growing, international team • No corners cut in having the best tech equipment to do your job • Enjoy a dynamic remote work setup that allows you to connect with our Madrid office, giving you the freedom to work from home 70% of your week or more! • Learning and development opportunities and training budget • Flexible Remuneration • Health Insurance • Access to Wellhub (Gympass), empowering your physical and mental wellness! • 23 holidays, your birthday off, and December 24th and 31st half days to celebrate! • Regular team events and Thursday happy hours • And much more!