The vente-privee group has consolidated its various European brands together made up of 6000 employees under one unified conglomerate: Veepee.
This coalescence marks a new chapter in its European history. With Privalia vente-exclusive Eboutic and vente-privee Veepee achieved a 3.3 billion Euro turnover as of 2024. Present in 10 countries Veepee is taking a leading role in the European digital commerce landscape.
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.
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 Veepees Information System
Mentorship Advocacy & Continuous Learning
Go-To Expert as VeepeeTechs 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 peoples (tech and non-tech) skills and knowledge.
Must Have skills
Academic Background: Masters 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 Metas 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 Veepees top management on strategic AI programs gaining visibility into executive decision-making and helping steer the companys 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 industrys network accelerating your technical growth and expanding your professional circle.
WHO WE ARE
Veepee is a tech community of 600 collaborators who play a key role in Veepees innovative strategy.
From Warsaw to Sevilla through Brussels Amsterdam Paris Nantes Nice Barcelona and Madrid all our projects are developed in an agile environment with a wide skills variety where youll be sure to find your place no matter the technology you work with.
If you love to try things why dont you jump on this new adventure
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