5 meilleures offres (python platform engineer devops, paris, a8) (à pourvoir)

AI Engineer
l'Oréal —Saint-Ouen (93)
- Temps plein
- Informatique
- Anglais
- Master
Postuler rapidement
il y a 1 jour
Security Engineer - Product
Wiz —Paris (75)
- Azure
- Niveau Licence
- Python
il y a 1 jour
Data Engineer GCP H/F
Open SAS —Levallois-Perret (92)
- SQL
- Python
Postuler rapidement
il y a 12 jours
Expert GCP / Data Engineering Senior (IT) / Freelance
Craftman data —Paris (75)
- De 490 € à 510 € par jour
- Java
- Python
5 h
Data Engineer GCP / BigQuery / dbt (H/F)
Hexateam —Paris (75)
- Salesforce
- DevOps
- SQL
5 h

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Security Engineer - Product
Wiz —Paris (75)
Wiz is looking for a Security Engineer for Product & Production Infrastructure who has experience performing security reviews, vulnerability management, and…
il y a 1 jour
AI Engineer
l'Oréal —Saint-Ouen (93)
Build & Deploy: Collaborate with the product manager and other engineers to build and deploy scalable AI/ML solutions meeting enterprise goals.
Postuler rapidement
il y a 1 jour

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AI Engineer

l'Oréal -
Saint-Ouen (93)

Postuler rapidement

Détails de l'emploi

Temps plein
Il y a 1 jour

Qualifications

Français
Informatique
Anglais
Master
Niveau Licence
Agile
Design thinking
Intelligence artificielle
Python

Description complète du poste

Hello, we’re L’Oréal. We're not just building brands, we're shaping how the world experiences beauty (and it takes a lot of cool jobs to do it). Intrigued? Keep reading, this might be the opportunity you've been searching for.

A Day in the Life

As part of our global Data & AI Solutions team of 40 experts, you will:

Build & Deploy: Collaborate with the product manager and other engineers to build and deploy scalable AI/ML solutions meeting enterprise goals.
Ensure Compliance: Ensure the code complies with L’Oréal technology choices, frameworks, platforms, and guidelines, acting as the liaison between Product and Platform teams.
Model Performance: Ensure the data science is sound, and that performant and accurate models are used for various business scenarios.
Bridge Tech & Business: Communicate clearly to non-tech stakeholders, speak the business language, understand business requirements, and translate them into technical choices.
Continuous Learning: Keep up to date with the latest advancements in AI, ML, and Data Science.

We Are Looking For

We welcome junior profiles with a Bachelor or Master’s degree in AI/ML, Computer Science, or Data Science. Key skills selected from our L'Oréal Skills Library:

Data Science Workflows: Hands-on experience with data exploration, cleaning, feature engineering, statistical analysis, and predictive modelling using Python and SQL.
Analytical Translation: Experience translating business questions into measurable hypotheses, experiments, and actionable data-driven recommendations.
Cloud & Tech: Knowledge of Google Cloud AI/ML solutions (Product/Agile or FMCG experience is a plus).
Professional Skills: Creativity, design thinking, critical thinking, and impactful communication in English (French is a plus).

What’s In It For You

A place for you to leave your comfort zone and grow beyond your potential (here, you’ll be encouraged to try new things and take risks!)
Real responsibility from day 1, there’s no sitting on the sidelines at L’Oréal
An environment where people of every ethnicity, social background, age, religion, gender and sexual orientation as well as people with disabilities are accepted, can speak up, will thrive and are celebrated!
A place where you can contribute to something bigger! Many of our brands have societal /environmental causes to make concrete difference

Who We Are

Join us at L’Oréal, the world's #1 beauty company. Together, we tackle big challenges while staying committed to making the world a more inclusive and better place.

Today, L’Oréal includes over 9k experts in beauty tech, digital, data and e-comm. Championing Beauty Tech, we invent the beauty of the future. To achieve this, we recruit diverse, innovative, and skilled minds in domains such as Data, Cloud, and DevOps.

We’re committed to guaranteeing inclusive recruitment processes and to advocating for hiring and promoting each candidate in an ethical and equitable way. The Group strictly prohibits discrimination against any applicant for employment because of the individual’s gender identity or expression, sexual orientation, visible and/or invisible disabilities, socio-economic and/or multicultural origins, health conditions, age, religion, or any other characteristics protected by law.

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python platform engineer devops emplois - paris, a8

AI Engineer

Security Engineer - Product

Data Engineer GCP H/F

Expert GCP / Data Engineering Senior (IT) / Freelance

Data Engineer GCP / BigQuery / dbt (H/F)

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