MLOps Engineer

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.

Your 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:

• 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.
• Troubleshoot and resolve issues related to the ML platform.
• Stay current with the latest advancements in ML platform technologies and best practices.

Desired Qualifications:

• 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.
• 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.

🚀 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 through Cobee

👩🏻‍⚕️ Health Insurance provided by IDOVEN

🏋 Access to Wellhub (Gympass), empowering your physical and mental wellness!

🌴 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!

🖥️ Remote Work Allowance: Support for your home office setup.

😎 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.

Diversity & Inclusion

At Idoven, we believe diverse teams build better products. We are an equal opportunity employer and welcome applicants from all backgrounds, regardless of race, gender identity, age, religion, sexual orientation, or disability.