AI/ML Engineering - PFE 1 - AI Matching Engine

Goal: Build an intelligent system that matches interns to missions using machine learning.

Team: AI/ML Engineer • Data Engineer • Full‑Stack Developer.

Key tasks:

• Collect and prepare training data (intern profiles, missions, constraints).
• Design and train matching/ranking models (e.g., similarity, embeddings, learning‑to‑rank).
• Expose the model through a secure API and integrate with internal platforms.
• Evaluate with offline metrics and A/B tests; iterate on features.

Deliverables:

• Production‑ready matching algorithm and dataset schema.
• REST/GraphQL API for match recommendations.
• Technical documentation and experiment reports.

Stack examples: Python, scikit‑learn/LightGBM or transformers embeddings, PostgreSQL, FastAPI/Node, Docker; optional OpenAI APIs; Notion for docs.