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 MLOps 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 MLOps 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.
Desired Qualifications:
- 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.
🚀 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
🙋 Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to
📚Learning and development opportunities and training budget
💸 Flexible Remuneration
👩🏻⚕️ Health Insurance
🏋 Access to Wellhub (Gympass), empowering your physical and mental wellness!
🖥️ Remote Work Allowance for your home office setup!
🌴 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!
😎 Regular team events and Thursday happy hours
And much more!
At IDOVEN, we believe in hiring top talented people like you - ambitious, forward thinkers who want to make a difference in the world and have an impact.
Top Skills
What We Do
Idoven is a health technology company advancing early detection and precision medicine for cardiovascular diseases. The Idoven AI-powered platform, certified as EU MDR Medical Device Class IIa, delivers substantial improvements to the speed, consistency and accuracy of electrocardiogram (ECG) interpretation. Its powerful, proprietary AI algorithms, which work with existing ECG devices, are also being applied to develop disease biomarkers towards patient identification, risk stratification and prognosis, as well as drug cardiac safety monitoring. Idoven partners with leading medical device and pharmaceutical companies on AI-driven innovations to develop a new standard of cardiovascular care.
Through exclusive partnerships and research collaborations, Idoven has developed one of the world’s largest ECG databases and a deep learning system applied to cardiology. The Idoven software is designed to be integrated seamlessly into existing clinical and research workflows, to support clinician decision making and disease management.
Idoven has been awarded with numerous distinctions for its AI technology in Europe and the US, including the prestigious European Innovation Council (EIC) Accelerator and Horizon 2020 (H2020) awards and the Healthy Longevity Catalyst Award from the US National Academy of Medicine. The company is backed by top tier investors including Insight Partners, Northzone and Wayra (Telefónica), the Accel Starters programme, leading business angels and EIT Health.
Idoven is based in Madrid and was founded in 2018, following almost a decade of ground-breaking research. We are building the future of cardiovascular care, and we need the best minds from around the world to help us.
Interested in joining our team? Head to our careers page and apply at www.idoven.ai/jobs
