Imnoo AG Company Profile

Machine Learning/Data Scientist C#/C++/Python Software Engineer at Imnoo AG (Zürich, Switzerland)

Imnoo AG
This job is 16 months old and is probably not available anymore.

Job Description

With joy and pioneering spirit, we at Imnoo strive to use the opportunities of digitalisation to support CNC- and 3D-manufacturers of the MEM sector in their mission to make

industry 4.0 reality. Become a part of our team and bring in your talents and know-how:together we shape the future of our customers.

Your Playground:

    Development of efficient data-processing pipelines for managing CAD, 2D and unfiltered/filtered batch of data for Machine Learning
    Design/Engineer/Take responsibility for cloud services, APIs, automated model training/deployment, build tools
    Take responsibility for new prototypes, whole chunks of systems/layers
    Get in-depth knowledge of interconnected Cloud/Data/Computer Vision/ML services across multiple languages and platforms
    Further development and maintenance of Optimization/Machine Learning services
    Further development and maintenance of 2D/3D/CAD data analysis
    Lead the development of 2D drawing/computer vision problem

Your Toolbox:

  • Expertise in full-stack data science tools including data wrangling/munging, iterative and batch analysis
  • Mathematician/statistician educations with strong dedication and experience inapplied technologies
  • Experience in Pipeline development
  • Data processing: parsing, filtering, piping, indexing querying
  • Experience automated model training
  • Strategic data analysis and research: statistical tests, propagation of error, Identifying clusters and outliers
  • Building training/testing and validating datasets
  • Azure Cloud Services experience
  • Experience working, processing, clustering, filtering, indexing a large amount of data efficiently
  • SQL/ NO-SQL Skills
  • Data Structures
  • C#, C++

Our Offer:

  • Learn/Use a broad stack of machine learning/data analysis tools
  • Your ideas and opinion are expected and highly appreciated
  • Developing your hard and soft skills within a diverse team on the job
  • Working in a dynamic start-up environment with a dedicated young team
  • 25 days vacation plus five additional compensation days (30 in total)
  • One day home-office per week
  • Gaming and power-nap area
  • Great work-life balance with regular social team events
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