Il s’agit d’un rôle très opérationnel et orienté expertise technique, idéal pour un profil de Lead Data & AI, AI Architect ou Technical Lead IA souhaitant avoir un impact concret sur des projets à forte valeur ajoutée.
Job Description
En tant que Technical Manager Data & AI, vous serez responsable de :
- Définir et piloter la roadmap technique IA en lien avec les enjeux métiers Telecom
- Concevoir des architectures Data & AI robustes, sécurisées et scalables
- Accompagner l’implémentation de projets IA de bout en bout, de l’idée jusqu’à la mise en production
- Développer et industrialiser des solutions basées sur l’IA générative et les LLM
- Mettre en place les bonnes pratiques MLOps afin d’assurer la maintenance et l’évolution des modèles
- Représenter l’expertise technique IA auprès des équipes du groupe
- Encadrer techniquement une équipe composée de Data Engineers, AI Engineers et Data Scientists
✔ Python avancé
✔ LLM / GenAI / Prompt Engineering
✔ RAG & frameworks IA (LangChain, LlamaIndex…)
✔ Machine Learning (PyTorch, TensorFlow, Scikit-learn)
✔ Data pipelines & architectures modernes
✔ Cloud (Azure, AWS ou GCP)
✔ Docker & Kubernetes
✔ DevOps / GitOps / CI/CD
✔ Sensibilité aux enjeux CyberSecurity, RGPD et AI Act
- Leadership technique naturel
- Capacité à vulgariser des sujets complexes
- Autonomie et esprit d’initiative
- Orientation résultats et delivery
- Curiosité technologique et passion pour l’innovation
- Excellent esprit collaboratif
- Formation Bac 5 en Informatique, Data Science, Intelligence Artificielle ou domaine équivalent
- Minimum 7 à 10 ans d’expérience en IT
- Au moins 3 à 5 ans d’expérience sur des projets Data & AI
- Expérience significative sur des projets IA en environnement professionnel
- Solide maîtrise de Python et des concepts Data/MLExpérience concrète avec les LLM, le RAG et le MLOps
- Une expérience dans le secteur Telecom est un réel atout
- Habitude de travailler dans des environnements complexes ou grands groupes
- Concevoir et déployer des solutions basées sur les LLM (GPT, Mistral, LLaMA…)
- Développer des architectures RAG adaptées aux cas d’usage métier
- Évaluer et sélectionner les modèles et frameworks IA pertinents
- Assurer une veille active sur les évolutions de l’écosystème IA
- Concevoir et optimiser des pipelines Data (batch & streaming)
- Garantir la qualité, la gouvernance et la sécurité des données
- Travailler avec des technologies telles que Spark, Kafka, Airflow et les architectures Data Lakehouse/Data Mesh
- Concevoir des solutions sur un environnement Cloud (Azure, AWS ou GCP)
- Utiliser les services AI/ML managés (Azure OpenAI, AWS SageMaker, Vertex AI…)
- Maîtriser les environnements Docker et Kubernetes
- Implémenter les pratiques DevOps/MLOps (MLflow, Kubeflow, CI/CD…)
- Guider techniquement une équipe de 5 collaborateurs
- Définir les choix d’architecture et challenger les solutions proposées
- Participer aux revues de code et accompagner la montée en compétences de l’équipe
- Français courant indispensable
- Anglais professionnel requis
- Leveraging your expertise, we present tailored project options. You choose where to attend an intake interview. Following a positive outcome, the decision to accept or decline the project remains yours. This ensures you always engage in
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