Keen Eye

Keen Eye

  • Artificial Intelligence / Machine Learning, Pharmaceutical / Biotech, SaaS / Cloud Services
  • Paris
  • View website

Tech team

At Keen Eye, technology is at the heart of our business and we put it to the service of medical research.  All technology choices are made with a balance between durability, pragmatism and modernity. Testing and code quality are a fundamental priority to achieve the quality of our product! Knowledge sharing and continuous improvement are essential to the functioning of the company and are at the heart of the values of Keen Eye’s teams. 

Keen Eye
Keen Eye

Technologies and tools

Backend

  • Redis
    Redis
    100%
  • Python
    Python
    100%
  • PostgreSQL
    PostgreSQL
    100%
  • MongoDB
    MongoDB
    100%
  • Go
    Go
    100%
  • C++
    C++
    100%

Frontend

  • WebGL
    WebGL
    100%
  • Redux.js
    Redux.js
    100%
  • React
    React
    100%
  • JavaScript
    JavaScript
    100%

Devops

  • Terraform
    Terraform
    100%
  • Sagemaker
    Sagemaker
    100%
  • Kubernetes
    Kubernetes
    100%
  • Docker
    Docker
    100%
  • AWS
    AWS
    100%
  • Amazon S3
    Amazon S3
    100%

Data

  • TensorFlow
    TensorFlow
    100%
  • PostGIS
    PostGIS
    100%

Continuous Integration

  • WebdriverIO
    WebdriverIO
    100%
  • GitLab CI
    GitLab CI
    100%

Project Management

  • Mattermost
    Mattermost
    100%
  • JIRA
    JIRA
    100%
  • Confluence
    Confluence
    100%

Miscellaneous

  • Salesforce Sales Cloud
    Salesforce Sales Cloud
    100%
  • Google Suite
    Google Suite
    100%

Projects and tech challenges

One of the technical challenges faced by Keen Eye developers is to display these very large images with a superposition of up to 10 million of geometric objects, all in a browser with an ultra fluid and fast user experience.  

The data scientists must constantly interact with pathologists in order to respond to medical problems and develop algorithms that best aid and accelerate the pathologist’s medical work. Their main challenge is to guarantee the quality, accuracy, and consistency of the algorithms so that they can be trusted for routine use in drug development and medical research. 

Recruitment process

  • Step 1 - Meet with the chief people officer and a member of the recruiting team
  • Step 2 - Technical discussion with technical experts
  • Step 3 - The candidate meets the team either on site or virtually

Latest job listings

No openings for now, please check back in a few days!