Senior Machine Learning Engineer

Location: 8002 Zürich, ZH

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At Inanna we aim to set a new clinical standard with our suite of clinical decision algorithms providing support for all critical decisions along the IVF treatment path for a truly personalized and tailored patient care. Our growing team brings together driven individuals who want to be part of an exceptional team, in an inspiring and reciprocal environment. Consisting of machine learning engineers, medical device development specialists and execution experts, we have the potential to improve the lives of millions of people.


  • Create a scalable, containerized architecture for data processing, algorithm development, and testing
  • Build tools and infrastructure to enable efficient product advancements
  • Develop solutions for real world problems and integrate solutions into products
  • Establish workflows per our development processes using pipeline management tools (e.g., Apache Airflow)
Assure research data quality with Continuous Integration (CI) tools and automated test scripts
  • Create and maintain our big data ETL pipelines and establish our data lake
  • Automate output documentation meeting regulatory requirements & conduct design and code review

  • Master’s degree in Computer Science or equivalent + 5 years minimum data engineering role or experience in cloud based, virtual computer environments
Strong knowledge in Python is a must
  • Experience in independently building software backends for live products
  • Experience with ETL pipelines for large data sets
  • Experience with Spark, SQL and/or NoSQL
  • Pluses: experience building infrastructures for AI in healthcare, having worked in regulated environment, software class C Knowledge & QMS, machine learning algorithms and tools, Git, PySpark, Scala, OOAD and CI, PhD
  • Ability to work independently with a high sense of responsibility
  • Fluency in English
  • Swiss or EU/EFTA work permit

Competitive salary and benefits package applies.

*** Mention DataYoshi when applying ***

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