Working Student: AI/ML & Data Infrastructure

Corealis Consulting AG; Zürich; Vor Ort; CHF 20.000 - 33.000; Teilzeit

Zusammenfassung

Corealis Consulting AG seeks student interns in Switzerland to contribute to our AI-driven consulting platform. You will work on building data pipelines, integration layers, and AI-enabled applications across two tracks.

The role emphasizes practical, hands-on development with Azure, APIs, and modern AI tooling. You will collaborate closely with consultants, gain exposure to cutting-edge AI engineering, and help turn abstract ideas into real solutions while improving secure data handling and

Qualifikationen

• Ongoing studies at a Swiss university (CS/DS/AI)
• Strong Python skills and understanding of APIs
• Fluency in German and English is required
• Experience with DevOps basics and Git/GitHub is a must
• Knowledge of Azure infrastructure or AI/ML tech is desired
• Familiarity with AI/LLM tooling and modern development workflows
• Based in Switzerland (preferably Greater Zurich Area)

Aufgaben

• Contribute to Track A by building data infrastrukture and integration pipelines
• Contribute to Track B by developing AI/ML application components
• Work with Azure, APIs, and data privacy considerations
• Collaborate in cross-functional teams with consultants and clients
• Apply AI-assisted development practices and toolchains

Kenntnisse

Python

APIs and authentication flows

DevOps

Git/GitHub

Docker

AI/LLM tooling

Web development basics

Azure infrastructure

Ausbildung

Ongoing university studies in CS/DS/AI

Tools

Jira

Jira API integration

Jobbeschreibung

Corealis Consulting AG seeks student interns in Switzerland to contribute to our AI-driven consulting platform. You will work on building data pipelines, integration layers, and AI-enabled applications across two tracks.

The role emphasizes practical, hands-on development with Azure, APIs, and modern AI tooling. You will collaborate closely with consultants, gain exposure to cutting-edge AI engineering, and help turn abstract ideas into real solutions while improving secure data handling and