20 meilleures offres (machine learning engineer h/f, paris, a8) (à pourvoir)

Senior AI Engineer - H/F/X
Veepee —Paris (75)
- Niveau Doctorat
- Master
- Machine learning
Backend developer go/golang (H/F/NB)
Ipsos —Paris (75)
- Télétravail partiel
- Anglais
- JavaScript
- Python
il y a 9 jours
AI Consultant [H/F/D]
Infosys —Paris (75)
- Azure
- Machine learning
- Intelligence artificielle
il y a 4 jours
Responsable Data H/F
Transatel —Courbevoie (92)
- Télétravail partiel
- Compétences en communication
- Prise en charge du transport quotidien
Senior Data Engineer / Data IA (H/F)
Metaline —Paris (75)
- De 62 000 € à 68 000 € par an
- Télétravail partiel
- Esprit d'analyse
- Machine learning
- Python
Lead Data Scientist (H/F/NB)
Ipsos —Paris (75)
- 65 000 € par an
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Master
il y a 9 jours
Full Stack Engineer | Computational Design | 3D | AI | Python(H/F) (IT) / Freelance
Freelance.com —Paris (75)
- 670 € par jour
- Anglais
- Développement logiciel
- Python
ML Engineer (H/F/X)
Ekkiden —Paris (75)
- Temps plein
- DevOps
- Python
Postuler rapidement
il y a 2 jours
Directeur de Projet Data – Refonte Décisionnel RH (H/F) (IT) / Freelance
Cherry Pick —Orly (94)
- 760 € par jour
- Azure
- Oracle
- Gestion de projet
AI & Data Engineer (Generative AI) H/F
Air Liquide —Paris (75)
- Temps plein
- Anglais
- Machine learning
- Intelligence artificielle
Responsable Excellence IA Finance (Finance AI Excellence Lead) - CDI (H/F/X)
Veepee —Saint-Denis (93)
- Télétravail partiel
- Oracle
- Ingénierie
- Master
Postuler rapidement
CDI - Data Product Manager Analytics & IA - Supply Chain (H/F)
Hermès Paris —Pantin (93)
- Temps plein
- Anglais
- SQL
- Gestion de produit
Senior Credit Risk Manager H/F
Octopus Energy Group —Paris (75)
- De 60 000 € à 75 000 € par an
- Temps plein
- Télétravail partiel
- Anglais
- SQL
- Machine learning
Postuler rapidement
il y a 11 jours
Cloud Data Engineer (H/F/NB)
Keyrus France —Levallois-Perret (92)
- Télétravail partiel
- Azure
- Java
- Master
Postuler rapidement
CDI - Data Product Manager Analytics & AI - Retail (H/F)
Hermès Paris —Pantin (93)
- Temps plein
- Anglais
- SQL
- Gestion de produit
IA Engineer Sénior (H/F/NB)
Keyrus France —Levallois-Perret (92)
- Télétravail partiel
- Machine learning
- Intelligence artificielle
Postuler rapidement
Ingénieur de recherche en IA générative pour l'automatisation de la conception matérielle H/F
CEA —Saclay (91)
- Informatique
- Niveau Doctorat
- Informatique
il y a 4 jours
Data Engineer Confirmé (H/F)
Extia —Sèvres (92)
- De 40 000 € à 50 000 € par an
- Anglais
- Java
- Master
Machine Learning Engineer – IA Conversationnelle & Voicebot (h/f) (IT) / Freelance
emagine Consulting SARL —Paris (75)
- De 450 € à 520 € par jour
- Service client
- Machine learning
il y a 3 jours
Alternance AI Research Engineer – Multiphysics E-Machine Simulation H/F
Valeo —Créteil (94)
- Temps plein
- Master
- Python
- Actionnariat salarié
- Opportunités de carrières

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : machine learning engineer h/f (paris, a8)

En vous connectant à votre compte, vous acceptez les Conditions d'utilisation de SimplyHired et consentez à notre Politique relative aux cookies et Politique de confidentialité.

Senior AI Engineer - H/F/X

Veepee -
Paris (75)

Soumettre votre candidature

Détails de l'emploi

Qualifications

Go
Niveau Doctorat
React
.NET Core
C#
NumPy
Git
Master
Microservices
Pandas
Machine learning
Deep learning
NLP
Développement logiciel
GitHub
APIs
Agile
Intelligence artificielle
Python

Description complète du poste

Pioneer of online flash sales since 2001 and key player in European e-commerce, Veepee collaborates with over 7,000 brands to offer highly discounted products available for a limited time. Operating across various sectors, including fashion, home, wine, travel or beauty... Veepee achieved a turnover of 3.3 billion euros incl. VAT in 2024 and employs 5,000 staff members across 10 countries.

Job Description

Veepee is seeking a talented Senior AI Engineer to join its VeepeeTech team and drive the development and deployment of Generative AI solutions to enhance user experience (hyper personalization, search), sales and operational efficiencies (pricing mechanics, fraud detection, sales and media production, …)

This role will contribute to end-to-end AI projects, from requirement qualification, business stakeholder exchange, and solution formalization, to data ingestion, potential model finetuning, project delivery, production deployment, and continuous monitoring while collaborating closely with cross-functional partners (product managers, developers, architects, data scientists, DevOps)

The ideal candidate will have strong hands-on experience with NLP/LLM architectures, modern deep learning frameworks, and deploying on-premise infrastructure while leveraging cloud-based LLM services; a solid foundation in statistics and mathematics with a genuine passion for modeling and problem formulation; significant professional experience on at least one concrete project involving the use of LLMs; and a proven track record of shipping AI models to production at scale.

TASKS

‍ Build, scale and optimize AI systems

Collaborate with stakeholders (product, marketing, operations, commerce, logistics) to analyze business challenges, define precise problem statements, and model them as tractable machine learning tasks (e.g., defining classification vs. ranking objectives, specifying metric targets).
Design, implement, and maintain scalable machine learning pipelines, emphasizing Large Language Models (LLMs) and generative architectures.
Fine-tune custom LLMs for specific use cases for cost and performance optimizations
Monitor AI systems performance in real time (latency, accuracy, drift) and establish automated retraining processes to maintain high quality, robustness, and fairness.
Partner with PMs, UX/UI designers and frontend/backend engineers to embed AI capabilities into Veepee’s Information System

Mentorship, Advocacy & Continuous Learning

Go-To Expert as VeepeeTech’s primary point of contact for AI/ML questions, providing rapid, authoritative guidance to engineers, product managers, and business stakeholders.
Champion AI/ML initiatives internally by presenting clear business cases and pilot results to cross-functional teams, promoting new use cases (e.g., dynamic copy generation, advanced recommendation features) and driving adoption of proven solutions.
Dedicate time to “tech scouting”, reading leading AI/ML research papers (e.g., NeurIPS, ICML, ICLR), monitoring open-source repositories (Hugging Face, GitHub trending), and evaluating promising new tools (e.g., emerging LLM architectures, efficient inference libraries).
Encourage cross-team “hack days” focused on AI use cases providing mentorship during these events and ensuring high-impact ideas are transitioned into roadmap items.
Provide AI/ML/GenAI training and workshops to enhance people’s (tech and non-tech) skills and knowledge.

Must Have skills

Academic Background: Master’s or Ph.D. in Computer Science, Machine Learning, Data Science, Statistics or Applied Mathematics.
Hands-On ML Experience: 3+ years of professional experience developing and deploying machine learning models, with at least 1 year focused on deep learning and NLP.
Software Development Experience: 6+ years in software development/tech or SWE roles, demonstrating strong engineering practices, code quality, and collaboration.
Programming Skills: Strong Python skills, including libraries such as NumPy, Pandas, and scikit-learn; experience with version control (Git), collaborative code reviews and containerization.
LLM Specialization: Hands-on experience with OpenAI GPT APIs (or competitors), Hugging Face Transformers, or Meta’s LLaMA models.

Nice-to-Have skills

Frontend Development: Practical experience with React or VueJS for integrating AI-driven features into user interfaces.
C# & .NET Core: Hands-on experience building backend services or microservices in C# using .NET Core.
MLOps Tooling: Familiarity with MLflow, Kubeflow, or TFX for experiment tracking, model registry, and serving.

Benefits

Direct Access to Leadership Initiatives: Collaborate closely with Veepee’s top management on strategic AI programs, gaining visibility into executive decision-making and helping steer the company’s innovation roadmap.
Performance-Based Variable Bonus: Reward for results; earn a competitive, variable bonus tied to achieving key milestones and driving measurable outcomes in your AI projects.
Shape Solutions at Massive Scale: Tackle high-impact projects that influence the shopping experience of millions of Veepee members across Europe, giving you the opportunity to see your work drive real business value and user satisfaction.
Flexible Work Model: Enjoy a hybrid setup with up to 2 days of remote work per week, enabling you to balance deep-focus development time from home with in-office collaboration.
Plug into a Thriving AI Ecosystem: Gain hands-on access to dedicated AI labs, collaborate with leading hyper-scalers, and engage directly with major players and startups in the industry’s network accelerating your technical growth and expanding your professional circle.

❓ WHO WE ARE

Veepeeᵀᵉᶜʰ is a tech community of 500 collaborators who play a key role in Veepee’s innovative strategy.

From Warsaw to Sevilla, through Brussels, Amsterdam, Paris, Lyon, Nantes, Nice, Barcelona, Madrid and Lausanne all our projects are developed in an agile environment with a wide skills variety where you’ll be sure to find your place, no matter the technology you work with.

If you love to try things why don’t you jump on this new adventure?

Vente-privee.com processes the collected data to handle the recruitment process, and to evaluate your ability to carry out the job offered and your professional skills. You can learn more about our use of your data and your rights by reading our recruiting privacy policy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Soumettre votre candidature

Affinez votre recherche

machine learning engineer h/f emplois - paris, a8

Senior AI Engineer - H/F/X

Backend developer go/golang (H/F/NB)

AI Consultant [H/F/D]

Responsable Data H/F

Senior Data Engineer / Data IA (H/F)

Lead Data Scientist (H/F/NB)

Full Stack Engineer | Computational Design | 3D | AI | Python(H/F) (IT) / Freelance

ML Engineer (H/F/X)

Directeur de Projet Data – Refonte Décisionnel RH (H/F) (IT) / Freelance

AI & Data Engineer (Generative AI) H/F

Responsable Excellence IA Finance (Finance AI Excellence Lead) - CDI (H/F/X)

CDI - Data Product Manager Analytics & IA - Supply Chain (H/F)

Senior Credit Risk Manager H/F

Cloud Data Engineer (H/F/NB)

CDI - Data Product Manager Analytics & AI - Retail (H/F)

IA Engineer Sénior (H/F/NB)

Ingénieur de recherche en IA générative pour l'automatisation de la conception matérielle H/F

Data Engineer Confirmé (H/F)

Machine Learning Engineer – IA Conversationnelle & Voicebot (h/f) (IT) / Freelance

Alternance AI Research Engineer – Multiphysics E-Machine Simulation H/F

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : machine learning engineer h/f (paris, a8)

Related Searches

TASKS

Must Have skills

Nice-to-Have skills

Benefits

Outils pour les chercheurs d'emploi

Outils Employeurs

Parcourir

Garder le contact