Aurélia Nègre

Critic
DISC Type : C

Head of AI Engineering at Safran.AI (ex Preligens)

Paris, Île-de-France, France

Overview

Aurélia Nègre is the Head of AI Engineering at Safran. AI, where she leads a 20-person team focused on the MLOps and Data platform. With a background in econometrics, she is an expert in industrializing deep learning solutions. Colleagues describe her as smart, well-organized, and reliable.

Aurélia is a passionate advocate for diversity in her field, co-founding and organizing the "Paris Data Ladies" meetup. This community, which has grown to over 3, 300 members, aims to promote and support women data scientists, engineers, and architects through regular technical events.

She co-authored a publication on using Generative Adversarial Networks (GANs) to create synthetic tabular data, showcasing her interest in advanced AI research.

Personality Overview

Information Seeker

Critic

Objective Thinker

Unless the value is proven by data, they are unlikely to value fancy features.  It is very likely that they will negotiate pricing or other important terms. They enjoy working alone and do not rely on others very often.

Topics They Care About

MLOps & AI Platforms
She leads the team responsible for Safran. AI's MLOps and Data platform, focusing on training, packaging, and deploying AI models into production.
Women in AI
Co-organizes the "Paris Data Ladies" meetup, a community she helped grow to over 3, 300 members to promote women in artificial intelligence.
Generative AI
Demonstrates deep technical expertise by co-authoring a publication on using Generative Adversarial Networks for tabular data generation.

Media Appearances

Aurélia has no verified media appearances

Work History

11-2024
Head of AI Engineering at Safran.AI (ex Preligens)
2-2023 - 1-2025
AI Engineering Manager at Safran.AI (ex Preligens)
6-2021 - 2-2023
Lead Deep Learning Scientist & AI Production Manager at Safran.AI (ex Preligens)
12-2018 - 3-2020
Senior Data Scientist at Quantmetry
1-2017 - 12-2021
Meetup organizer at Meetup Paris Data Ladies

Education

2015 - 2016
Master's degree from Université Paris Dauphine - PSL
2014 - 2015
M1 in Econometrics and Statistics from Toulouse School of Economics

More Information

Social Presence :

Prographics :

Exp : 9 Location : Paris, Île-de-France, France Job Level : Mid-senior Designation : Head of AI Engineering at Safran.AI (ex Preligens)
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Insights For Selling To Aurélia

During A Call Or A Meeting

DO's

  • Tell them what ROI they can expect
  • Keep some extra margin while sharing pricing, they are likely to negotiate later
  • Be formal and objective, they will appreciate it more

DONT's

  • Avoid pushing them too much to involve other stakeholders unless it is critical
  • Don’t try too hard to build a relationship with them
  • Do not use very emotional or colorful language

When Cold Calling

When Writing An Email

While Negotiating & Closing

    The secret to closing fast with Aurélia is

  • Strong evidence of ROI, effective pricing, and proven data points matter the most to them.
  • Will you ever get a clear answer from Aurélia

  • It is not very hard for them to say no if they are not convinced about the decision.

Insights For Deal Planning

    How fast (or slow) will Aurélia move?

  • Their decision-making is neither very fast nor very slow, they are somewhere in between.
  • Can Aurélia take some risk or not?

  • They can take risks if their analysis shows that it would be worth it.

You And Aurélia

Personality Compatibility


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