Lead Product Software-Machine Learning Engineer

Location: 8032 Zürich, ZH

*** Mention DataYoshi when applying ***

Inanna is a dynamic medical information technology startup founded in 2018 in Zurich.

Our mission is to improve the outcomes of fertility treatments through clinical decision support algorithms which leverage the latest innovations in machine learning and the largest worldwide real-world patient database.



Are you Inanna's next tech wizard? We are looking for a product development lead with experience in building and managing cloud back-ends for machine learning applications and integrating predictive models into products that will change real lives for the better.

You will work alongside data science R&D as product development lead in our exceptional team. You bring a get-things-done attitude, and you are rigorous, practical and organised. You have built and deployed real products, configured cloud-based resource orchestration systems, integrated machine learning models into production applications, tried and failed and succeeded.


  • Take overall day-to-day product development responsibilities
  • Lead development of our product back-end and manage external delivery of our front-end
  • Manage the product team to define outcomes and ensure deadlines are met
  • Work alongside the data science team to ensure product requirements are fulfilled
  • Promote best practices in software development and reproducible machine learning
  • Develop our in-cloud machine learning training and serving architecture with CI/CD (MLOps)
  • Build data pipelines and storage solutions for structured and unstructured data
  • Build required connectors to clinics legacy IT systems for data exchange through APIs


  • Master's degree in computer science, software engineering, or equivalent work experience
  • 5+ years in a software engineering or full-stack role. We primarily use Python
  • Experience in leading technical teams, setting goals, planning, and tracking workloads
  • Deep knowledge of managing deployments in cloud environments (AWS, GCP, Azure)
  • Experience with building data pipelines and data stores
  • Knowledge of resource orchestration and containerisation solutions (Docker, kubernetes)

  • Ph.D. in computer science, medical technology, or related life sciences
  • Documented ability to translate data science R&D outcomes into marketable products
  • Understanding of workflow management tools (KubeFlow, AirFlow) and machine learning model hosting solutions (TF serving, KF serving)
  • Familiarity with machine learning experiment tracking tools (MLFlow, Comet ml) and data versioning (DVC, git lfs)
  • Work experience in high-growth startups and/or healthcare IT

  • Ability to thrive in a highly ambiguous and fast-changing environment
  • Organised and empathic leader
  • Self-starter with high personal drive and motivation
  • Willingness to learn and execute quickly
  • Pragmatic can-do, hands-on attitude and drive to execution


  • Opportunity to shape and drive to success a promising startup
  • Opportunity for personal growth in a leadership role
  • Competitive salary
  • Equity participation given early stage
  • Working from home or from our dog friendly office in the heart of Zurich

*** Mention DataYoshi when applying ***

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