Chief AI Officer
Vor 6 Tagen
1.1 Conseil en Stratégie IA & Gouvernance des Données
- Accompagner les entreprises dans la définition et la mise en place de leur stratégie IA.
- Définir et superviser les bonnes pratiques en gestion des données et en gouvernance IA (éthique, conformité, réglementation).
- Identifier les cas d'usage pertinents et proposer des feuilles de route adaptées.
- Évaluer la maturité IA & data des organisations et proposer des recommandations stratégiques.
- Superviser l'intégration de l'IA dans les infrastructures existantes (on-premise, cloud, edge computing).
1.2 Formation & Acculturation à l'IA
- Concevoir et animer des formations sur l'IA générative, le machine learning (ML), l'apprentissage profond (Deep Learning), et la gestion des données pour des profils techniques et non techniques.
- Accompagner les équipes internes dans l'appropriation des technologies IA et leur montée en compétences.
- Sensibiliser aux enjeux de l'IA : biais algorithmiques, transparence, éthique et impact sociétal.
- Développer des supports pédagogiques adaptés aux différents niveaux d'expertise.
1.3 Déploiement de l'IA & Pilotage de Projets
- Assister les entreprises dans le choix des technologies, plateformes et solutions IA.
- Superviser la mise en place d'architectures IA robustes et évolutives.
- Piloter des projets de proof of concept (PoC) et accompagner leur industrialisation.
- Travailler en étroite collaboration avec les équipes IT, Data Science et les métiers pour garantir une adoption réussie des solutions IA.
2 Qualifications et expérience requises
- Diplôme de Master ou Doctorat en Intelligence Artificielle, Data Science, Informatique, Mathématiques appliquées ou domaine connexe.
- Minimum 5 ans d'expérience en IA, Machine Learning et gestion des données.
- Expérience en conseil stratégique, transformation digitale et gouvernance IA.
- Maîtrise des concepts avancés en deep learning, NLP, computer vision, LLMs, MLOps et data governance.
- Expérience en animation de formations et vulgarisation des concepts IA.
- Expérience en conduite du changement et transformation organisationnelle.
- Connaissance des réglementations nLDP, LPrD, RGPD, AI Act et normes éthiques de l'IA.
- Maîtrise des plateformes cloud IA pour les PoC : , Microsoft Azure, AWS, Google Cloud.
- Expérience en développement IA open-source et industrialisation des modèles.
3 Expertise & compétences techniques recherchées
- Stratégie IA & Gouvernance des Données
- Déploiement et intégration IA (on-premise, cloud, edge computing)
- Expertise en IA générative, NLP, Computer Vision, LLMs
- Expérience en gestion de projets IA & MLOps
- Capacité à vulgariser et à enseigner des concepts complexes
- Connaissance des cadres réglementaires et éthiques IA
4 Compétences comportementales (Soft Skills)
- Excellente capacité d'analyse et de synthèse pour conseiller les directions.
- Leadership et pédagogie pour accompagner la montée en compétences des équipes.
- Aisance relationnelle et forte capacité d'adaptation en environnement client.
- Esprit stratégique et vision business pour aligner IA et objectifs métiers.
- Autonomie et rigueur, capable de gérer plusieurs projets en parallèle.
- Curiosité et veille technologique active pour anticiper les évolutions du domaine.
- Français : niveau courant (écrit et oral).
- Anglais : niveau professionnel (écrit et oral).
- La maîtrise d'autres langues est un atout.
6 Informations complémentaires
- Localisation : Bureau basé à Lausanne , avec interventions en Suisse romande chez les clients.
- Environnement de travail : Projets d'innovation IA, missions de conseil, forte dynamique R&D, prestations de conseil en régie dans des entreprises prestigieuses et secteurs d'innovation.
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