Internship : Building the Framework for Scalable Intelligence

Description
Bringing AI projects from proof-of-concept to production is a complex journey. It involves managing experiments, ensuring reproducibility, and deploying robust pipelines. With GenAI, the challenges shift, as prompt management, evaluation of non-deterministic outputs, document preparation, and versioning become central concerns.
Indeed, operationalizing AI and GenAI projects requires more than just good models; it demands robust tooling and processes.
In this internship, you’ll take on the challenge of designing and deploying an internal X-Ops platform that supports the operational needs of AI, ML, and GenAI projects. Your first step will be to explore and compare the tools currently available on the market, identifying those best suited to our environment. From there, you’ll build a platform that includes reusable scripts and components, making it easy to integrate into client projects. 
To promote the platform's practicality and effectiveness, you will establish comprehensive guidelines and templates for its application and implement them within an existing project to validate your methodology. You’ll work with AI, ML, and Data Engineers at ELCA by interviewing them to learn about their workflows and inform your recommendations.
This internship offers a hands-on opportunity to tackle these challenges by building a unified X-Ops platform that supports both ML and GenAI workflows. You'll explore solutions for topics such as automatic LLM/RAG evaluation, A/B testing, and prompt lifecycle management, while ensuring compatibility with model deployment and production environments. Your work will directly improve how we experiment, validate, and scale AI solutions, making a lasting impact on future projects at ELCA.
This is both an educational and professional development opportunity in a rapidly evolving technological landscape.

Objectives
•    Evaluate and compare existing ML/AI/GenAI-Ops tools available on the market.
•    Design and deploy an internal X-Ops platform, including reusable scripts for easy integration into client projects.
•    Define best practices by proposing guidelines and templates for using the platform effectively. 
•    Continuous feedback integration from senior colleagues.
•    Validate your approach by applying it to a concrete project.

Our offer
•    A dynamic work and collaborative environment with a highly motivated multi-cultural and international sites team
•    The chance to make a difference in peoples’ life by building innovative solutions
•    Various internal coding events (Hackathon, Brownbags), see our technical blog
•    Monthly After-Works organized per locations

Skills required
•    Programming: Solid foundation in Python and scripting, familiarity with ML frameworks (e.g. Pytorch, Tensorflow, transformers, …)
•    Understanding of AI/ML Workflows: Familiarity with how AI and ML projects are structured, and strong interest in MLOps principles.
•    Tool Awareness: Interest in exploring tools like MLflow, Databricks, LangGraph, and more.
•    Software Engineering Fundamentals: Basic knowledge of Git, modular code design, CI/CD and documentation practices.
•    Communication & Collaboration: Ability to work with technical teams, conduct interviews, and synthesize feedback.
•    Curiosity & Problem-Solving: Eagerness to learn, experiment, and propose practical solutions to real-world challenges.
 

This internship starts in February 2026. 

Applications must include your most recent academic transcripts (grades); applications without transcripts will not be considered.