Educational Services AI Engineer for Programs

EPFL; Vaud; On-site; CHF 110,000 - 150,000; Full time

Benefits offered by this job

World-leading university environment

GPU computing infrastructure access

Training and courses

Job summary

EPFL, the Swiss Federal Institute of Technology in Lausanne, invites applications for an AI Engineer in Academic Services and Program Support. You will design, develop, and deploy AI systems using Large Language Models within EPFL's secure infrastructure to assist students, instructors, and teaching sections.

Working with the Center for Digital Education and LEARN, you will extend the Graph AI Platform and Agent Framework, building tools for survey analysis, course descriptions, and

Qualifications

• Master's degree in Computer Science, ML, AI, or related field.
• 2-3 years of professional experience in ML/AI application development.
• Strong background in Large Language Models.
• Proficient in Python programming and ML frameworks.
• Experience with handwriting recognition or document processing.
• API development and data engineering experience.
• Familiarity with vector databases and semantic search.
• English (C1) and French proficiency.

Responsibilities

• Support pedagogical processes such as course evaluations and course description development.
• Assist administrative processes with document analysis and quality checks; support decision-making in complex scenarios.

Skills

Python

ML Frameworks

Large Language Models

Document Processing

API Development

Data Engineering

Vector Databases

Semantic Search

English Proficiency

French Proficiency

Education

Master's in Computer Science/ML/AI

Tools

OCR

GPU/ML infra

Job description

EPFL, the Swiss Federal Institute of Technology in Lausanne, invites applications for an AI Engineer in Academic Services and Program Support. You will design, develop, and deploy AI systems using Large Language Models within EPFL's secure infrastructure to assist students, instructors, and teaching sections.

Working with the Center for Digital Education and LEARN, you will extend the Graph AI Platform and Agent Framework, building tools for survey analysis, course descriptions, and