AI Tech Radar Intern: Build Real-Time Tech Landscape

ELCA Informatique SA

Zürich

On-site

CHF 20,000 - 27,000

Full time

14 days+

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Benefits offered by this job

Dynamic workplace
Monthly AI meetups
Impactful projects that make a diff.
Hackathons & Brownbag sessions
Monthly after-works

Job summary

ELCA Informatique SA in Zürich is offering a 6-month AI-powered internship starting Spring 2027 to build a real-time Technology Radar across our tech landscape.

You will collect and analyze data from live projects, classify technologies with AI, and visualize the radar to support strategic decisions and early vulnerability detection. Proficiency in .NET, JavaScript and Python is required, with Azure and CI/CD experience preferred.

Qualifications

  • Bachelor's or Master's degree in CS or related field.
  • Proficient in .NET, JavaScript and Python with strong DB skills.
  • Experience with Azure, DevOps and CI/CD pipelines.
  • Strong data visualization and trend analysis abilities.
  • English fluent; German or French preferred.

Responsibilities

  • Collect and analyze technology stack data from active projects in real time.
  • Use AI to classify and tag technologies across projects.
  • Benchmark tech choices against market trends with AI.
  • Develop a dynamic Technology Radar visualization.
  • Support strategic decisions by identifying opportunities and gaps.
  • Help detect vulnerabilities and encourage regular upgrades.
  • Work with Azure, DevOps and CI/CD pipelines to connect radar to live data.

Skills

.NET
JavaScript
Python
Data visualization
Analytical skills
Azure
DevOps
CI/CD pipelines
English fluency
German or French

Education

BSc or MSc in CS

Tools

Azure DevOps

Job description

ELCA Informatique SA in Zürich is offering a 6-month AI-powered internship starting Spring 2027 to build a real-time Technology Radar across our tech landscape.

You will collect and analyze data from live projects, classify technologies with AI, and visualize the radar to support strategic decisions and early vulnerability detection. Proficiency in .NET, JavaScript and Python is required, with Azure and CI/CD experience preferred.

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