Senior Machine Learning Engineer (Platform)

Health tech startup using AI for cardiac disease prevention through AI-based electrocardiogram analysis platform.
Machine Learning
Senior Software Engineer
Remote
3+ years of experience
AI · Healthcare

Description For Senior Machine Learning Engineer (Platform)

Idoven is a pioneering health tech startup focused on preventing cardiac disease through artificial intelligence. Their innovative AI-based electrocardiogram analysis platform enables early detection and diagnosis at scale, working alongside physicians and healthcare leaders. The company has received significant recognition, including the European Seal of Excellence and support from the European Innovation Council (EIC) and Horizon 2020 European Commission.

As a Senior Machine Learning Engineer (Platform), you'll be integral to the platform team, developing and maintaining core infrastructure that powers ML operations. Your role involves creating sophisticated solutions for data access, GPU resource management, and streamlining model deployment processes. You'll work with cutting-edge technologies and frameworks while collaborating with talented ML engineers to optimize the development lifecycle.

The position offers a unique opportunity to make a meaningful impact in healthcare while working with state-of-the-art technology. Idoven provides an attractive remote-first work environment with comprehensive benefits, including professional development opportunities, health insurance, and flexible working arrangements. The role requires strong technical expertise in ML infrastructure, distributed systems, and cloud technologies, combined with excellent collaborative skills.

This is an exceptional opportunity to join a fast-growing, award-winning startup that's been recognized as one of Europe's most promising technology companies. You'll have the resources and responsibility to shape a product that has the potential to save millions of lives, backed by some of the industry's best investors and supported by prestigious institutions.

Last updated 26 minutes ago

Responsibilities For Senior Machine Learning Engineer (Platform)

  • Design, develop, and maintain ML model training infrastructure and tools
  • Develop systems for efficient data access and management
  • Create solutions for optimizing GPU utilization and resource allocation
  • Integrate and maintain experiment tracking tools (MLflow, TensorBoard)
  • Develop and implement ML model production deployment processes
  • Collaborate with ML engineers to understand needs and provide solutions
  • Contribute to improving ML development lifecycle and best practices
  • Troubleshoot and resolve ML platform issues
  • Stay current with ML platform technologies and best practices

Requirements For Senior Machine Learning Engineer (Platform)

Python
Kubernetes
  • 3-4 years of experience in ML platform engineering role
  • Strong passion for building robust and scalable ML platforms
  • Solid understanding of optimization techniques and distributed systems
  • Strong foundation in computer science principles
  • Experience with cloud environments (AWS, GCP, Azure)
  • Experience managing GPU resources (NVidia, CUDA)
  • Familiarity with ML frameworks like TensorFlow or PyTorch
  • Experience with experiment tracking tools (MLflow, TensorBoard)
  • Experience with containerization and version control
  • Excellent problem-solving and communication skills
  • Comfortable with CI/CD and collaborative development practices

Benefits For Senior Machine Learning Engineer (Platform)

Medical Insurance
Education Budget
Mental Health Assistance
  • Be part of a disruptive HealthTech and AI startup
  • Personal and professional growth opportunities
  • Best tech equipment provided
  • Remote work setup (70% or more)
  • Learning and development budget
  • Flexible Remuneration
  • Health Insurance
  • Access to Wellhub (Gympass)
  • 23 holidays, birthday off, and December 24th/31st half days
  • Regular team events and Thursday happy hours

Interested in this job?

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