Chaque carte montre le cadre du poste (lieu de travail, type de contrat, localisation, indications salariales), la stack attendue et le contexte entreprise. Connectez-vous en tant que candidat pour enregistrer des offres depuis ce tableau ou la fiche poste, compléter votre profil, puis postuler quand vous êtes prêt.
Communauté en croissance—comptes membres avec preuves vérifiables, pas de profils démo seed.
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Parcourir par volet spécialité
La grille d’accueil mène vers RAG, agents, MLOps, produit, data et toutes les offres—un bon point de départ avant de filtrer ici.
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Hubs par intention
Pages d’atterrissage avec filtres pré-appliqués sur le job board public—remote et hybrid, ML et junior ML, NLP/LLM.
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Hubs profils par intention
Pages d’atterrissage qui ouvrent l’annuaire avec des recherches préréglées—ML, junior ML, NLP/LLM, MLOps et vision par ordinateur.
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Nouveau ? Lisez , les employeurs voient , et notre couvre les annonces et le tri.
Affichage 97–106 sur 106 offres — annonces les plus récentes d’abord lorsque la base est connectée. Filtré par pays « France », ville « Paris ».
France · 50000+ employees · Enterprise · GenAI: Partial
Sopra Steria AI — European SIRole context: AI Consulting · based in France · ~50000+ people · Enterprise · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
France · 10000+ employees · Enterprise · GenAI: Partial
Devoteam AI — Cloud + AI consultingRole context: AI Consulting · based in France · ~10000+ people · Enterprise · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 200-500 employees · Scale-up · GenAI: Partial
Pigment — Planning platformRole context: AI Planning SaaS · based in Paris · ~200-500 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 500-1000 employees · Scale-up · GenAI: Partial
Spendesk AI — Spend managementRole context: Fintech AI SaaS · based in Paris · ~500-1000 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 200-500 employees · Scale-up · GenAI: Partial
Pennylane — Accounting SaaSRole context: Finance AI SaaS · based in Paris · ~200-500 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 1000-2000 employees · Scale-up · GenAI: Partial
PayFit AI — Payroll SaaSRole context: HR AI SaaS · based in Paris · ~1000-2000 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 500-1000 employees · Scale-up · GenAI: Partial
Alan — Health insuranceRole context: Health AI SaaS · based in Paris · ~500-1000 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 300-600 employees · Scale-up · GenAI: Partial
Sinequa — Enterprise searchRole context: Search AI SaaS · based in Paris · ~300-600 people · Scale-up · LLM/genAI focus: Partial.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 100-300 employees · Scale-up · GenAI: No
Toucan Toco — Data storytellingRole context: Data Storytelling AI · based in Paris · ~100-300 people · Scale-up · LLM/genAI focus: No.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre
Paris · 10-50 employees · Startup · GenAI: No
Earthcube — Geospatial analyticsRole context: Geo AI SaaS · based in Paris · ~10-50 people · Startup · LLM/genAI focus: No.You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain…
Avantages · Health coverage (statutory + supplemental where applicable), meal vouchers where relevant, flexible hybrid weeks, learning budget.
Voir l’offre