AI Internship: Self-Hosted LLMs for Data Migration

ELCA Switzerland and Europe

Zürich

Sur place

CHF 20 000 - 28 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Monthly AI meetups
Hackathons and Brownbag sessions
Technical blog
Monthly After-Works

Résumé du poste

ELCA in Switzerland offers a 6-month internship starting Spring 2027 to explore sovereign, locally-run AI for complex legacy data migrations. You will benchmark open-source LLMs, deploy models locally with Ollama, vLLM, or Hugging Face, and design a prototype pipeline that analyzes legacy schemas, code and sample data.

You will uncover hidden business rules in legacy systems (including .NET apps), validate data quality, and generate automated effort estimates.

Qualifications

  • Bachelor or Master degree in Computer Science or related discipline.
  • Proficient in Python and SQL; familiarity with .NET-based systems is a plus.
  • Experience with LLMs and local deployments (Ollama, vLLM, Hugging Face).
  • Interested in agentic AI and building benchmark pipelines.
  • Basic understanding of database schemas and data quality.
  • Structured work approach and clear communication.
  • Fluent in written and spoken English, plus German or French.

Responsabilités

  • Benchmark open-source LLMs for self-hosted vs cloud models on migration tasks.
  • Deploy candidate models locally using Ollama, vLLM, or Hugging Face.
  • Design and build a prototype pipeline that analyzes legacy schemas, code and data.
  • Uncover hidden business rules in legacy systems, including .NET apps.
  • Validate data consistency and assess complexity of a migration case.
  • Generate automated effort estimates and migration guidelines from a local model.
  • Define criteria for when a local model can replace manual scoping in bids.
  • Evaluate trade-offs between self-hosted and cloud models for licensing and cost.
  • Shape how we scope fixed-price services for data sovereignty needs.

Connaissances

Python programming
SQL
.NET familiarity
LLMs
model deployment
data schemas
data quality
agentic AI
German or French

Formation

Bachelor or Master in Computer Science

Outils

Ollama
vLLM
Hugging Face

Description du poste

We are ELCA, one of the largest Swiss IT tribe with over 2,300 experts. We are multicultural with offices in Switzerland, Spain, France, Vietnam and Mauritius. Since 1968, our team of engineers, business analysts, software architects, designers and consultants provide tailor-made and standardized solutions to support the digital transformation of major public administrations and private companies in Switzerland. Our activity spans across multiples fields of 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.

Your tasks
  • Benchmark open-source LLMs that can be self-hosted on sovereign infrastructure against leading cloud models on three 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 see how sovereign AI works in practice.
  • Design and build a prototype agentic pipeline that analyzes legacy schemas, code and sample data on its own.
  • Uncover hidden business rules in legacy systems, including .NET-based applications, that often only show up after 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.
  • Shape how we scope one of our most frequently fixed-price-quoted services for clients with strict data sovereignty needs.
What we offer
  • A dynamic, collaborative workplace with a highly motivated, multicultural team working across international sites
  • Monthly AI meetups with our expert AI team, where you can ask questions and move your topic forward
  • The chance to make a difference in people's lives by building innovative solutions
  • Internal coding events such as Hackathons and Brownbag sessions, plus our technical blog
  • Monthly After-Works organized at each location
About your profile
  • You have a Bachelor or Master degree (EPFL, ETH, University) in Computer Science or 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, 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

We believe in strong values and are convinced that diversity is the key to success. If you take on challenges with curiosity, motivation and drive, you've come to the right place! Let our motto inspire you: We make it work!

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