Overview

• Develop and implement an automated data labeling system to streamline annotation of large datasets within Microsoft 365.

Goals

• Automatically apply sensitivity labels to documents in Microsoft 365 using classification techniques.
• Define and implement an optimal target architecture with a focus on performance and accuracy.

Technologies

• Microsoft Azure services, Python, RegEx, Open-source LLMs.

Responsibilities

• Build an AI system to identify, categorize, and label data in Microsoft 365 per guidelines and standards.
• Analyze complex datasets and troubleshoot issues efficiently.
• Perform quality checks on labeled data to ensure accuracy and consistency.
• Optimize performance to operate within constrained resources.

Basic Qualifications

• Ability to work in a collaborative team environment.
• Excellent oral and written communication skills.
• Motivation and strong commitment to delivering results.
• Strong organizational skills and ability to make independent decisions.
• Ability to document processes and findings clearly.

Technical Qualifications

• Python programming.
• Familiarity with NLP and machine learning frameworks.
• Familiarity with cloud computing (Azure preferred).
• Bonus: Familiarity with Large Language Models (LLMs).
• Bonus: Experience with Dask/Polars.

📧 Pour postuler: jobs@datahorizon.eu