MLOps Engineer

Summary

Join IDOVEN, a health tech startup utilizing AI to prevent cardiac disease, as a skilled MLOps Engineer. You will be instrumental in developing and maintaining the core infrastructure and tools supporting our machine learning engineers. This involves building solutions for data access, GPU resource management, experiment tracking, and streamlining model deployment. The role offers the chance to contribute to a game-changing product with the backing of top investors. You will collaborate closely with other engineers, troubleshoot platform issues, and stay updated on the latest ML platform technologies. This is a unique opportunity to make a significant impact in the healthcare industry.

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

Preferred 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

Benefits

• 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