Senior Machine Learning Engineer
Il y a 2 mois
Senior Machine Learning Engineer LLM (H/F)
Lieu : Paris
Type de contrat : CDI
Expérience : +5 ans
Salaire : 60-90K selon profil
Qui sommes-nous ?
Cabinet spécialisé en Data Science, MLOps et LLMOps, nous aidons nos clients à intégrer l’Intelligence Artificielle (IA) pour développer un avantage stratégique. Nous concevons et déployons des solutions d'IA à grande échelle. En pleine croissance, nous renforçons notre équipe avec des experts spécialisés dans l'intégration de Large Language Models (LLMs) et le déploiement de solutions scalables.
Votre mission
En tant que Senior Machine Learning / AI Engineer, avec plus de 5 ans d'expérience, vous contribuerez à la résolution de problématiques complexes et au déploiement de solutions robustes pour nos clients.
Projets Client :
- Développement et mise en production de pipelines ML et IA (RAG)
- Déploiement et gestion de modèles dans des environnements cloud ou on-premise, avec un focus sur l'optimisation des performances (orchestration, monitoring, observabilité).
- Amélioration continue du code, en veillant à la qualité des solutions livrées.
- Référent technique pour les data scientists, en les accompagnant dans la montée en compétences et les bonnes pratiques techniques.
Exemples de projets :
- Extraction de données structurées à grande échelle via pipelines RAG sur infrastructure GPU.
- Génération de rapports financiers automatiques pour des banques, avec des modèles déployés on-premise.
- Développement d'agents conversationnels pour l'analyse de données marketing sur des infrastructures cloud.
Formation et R&D :
- Vous contribuez, en plus des projets clients aux projets de R&D pour enrichir nos produits et librairies internes, accélérateurs de nos projets.
Profil recherché :
- 5+ ans d’expérience sur des projets de Machine Learning en production.
- Maîtrise des pipelines ML, de la conception à la production.
- Excellentes compétences en Python et bonnes pratiques de développement.
- Connaissance des environnements cloud et on-premise.
- Connaissance des enjeux liées aux déploiement de Large Language Models et l'écosystème LLMOps
- Connaissance pratique des outils DevOps (Kubernetes, Docker, CI/CD), et d'infrastructure as code (Terraform, Ansible, etc.)
- Capacité à concevoir des architectures micro services
- Expérience de déploiement sur le cloud (AWS, GCP, ou Azure)
- Forte capacité à travailler en équipe et en autonomie.
- Expérience dans l'accompagnement technique
Avantages :
- Bonus de performance
- Télétravail flexible jusqu'à 4 jours par semaine
- Formations continues et conférences
- Abonnement à un espace de coworking
- Mutuelle prise en charge à 100 %
Nous valorisons la diversité, l'excellence, y compris à travers des parcours atypiques. Rejoignez nous pour façonner l’avenir de l’IA en Entreprise.
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