We are ELCA, one of the largest Swiss IT organizations with over 2,300 experts and offices in Switzerland, Spain, France, Vietnam and Mauritius. Since 1968, our team has provided tailor-made and standardized solutions to support the digital transformation of major public administrations and private companies in Switzerland. Our activities span leading-edge technologies such as AI, Machine & Deep learning, BI/BD, RPA, Blockchain, IoT and CyberSecurity. In this 6-month internship starting in Spring 2027, you'll test whether sovereign, locally-run AI can reliably scope complex legacy data migrations so our clients can get accurate fixed-price offers.
Tasks
- Benchmark open-source LLMs that can be self-hosted on sovereign infrastructure against leading cloud models on migration-scoping tasks: understanding schemas, extracting business rules and assessing data quality.
- Deploy and run candidate models locally with tools such as Ollama, vLLM or Hugging Face, and observe how sovereign AI works in practice.
- Design and build a prototype agentic pipeline that analyzes legacy schemas, code and sample data autonomously.
- Uncover hidden business rules in legacy systems, including .NET-based applications, through in-depth analysis.
- Validate data consistency and quality, and assess the complexity of a representative legacy migration case.
- Generate automated effort and complexity estimates, along with step-by-step migration guidelines, from a locally-run model.
- Define criteria and best practices for when a local model is accurate enough to replace manual scoping in fixed-price migration bids.
- Evaluate and document the resource, cost and licensing trade-offs between self-hosted and cloud models.
- Contribute to shaping how fixed-price-quoted services are scoped for clients with strict data sovereignty needs.
Requirements
- You have a Bachelor or Master degree (EPFL, ETH, University) in Computer Science or a related discipline.
- You are comfortable programming in Python and SQL, and ideally have some familiarity with .NET-based systems.
- You have worked with LLMs and, ideally, have tried deploying them locally (e.g. Ollama, vLLM, Hugging Face).
- You are curious about agentic AI and keen to build and benchmark your own pipeline.
- You have a basic understanding of database schemas and data quality.
- You like to work in a structured way and to share your findings clearly.
- You are fluent in written and spoken English, as well as German or French.
Benefits
- A dynamic, collaborative workplace with a highly motivated, multicultural team working across international sites.
- Monthly AI meetups with the expert AI team, where you can ask questions and advance your topic.
- The chance to make a difference in people's lives by building innovative solutions.
- Internal coding events such as Hackathons and Brownbag sessions, plus a technical blog.
- Monthly After-Works organized at each location.
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Über uns
Das Team
You will work in a highly motivated, multicultural team collaborating across international sites.