{"id":4279300,"url":"https://alion.io/job/doctrine-confirmed-machine-learning-engineer-jobexit","title":"Confirmed Machine Learning Engineer (Jobexit)","company":{"id":53066,"name":"Doctrine","domain":"doctrine.fr","url":"https://alion.io/company/doctrine-fr","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":74,"open_postings":34,"ghost_share":0.353,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":100,"computed_at":"2026-11-12T10:38:37Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France","Toulouse, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GitHub","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-11-13T13:58:07Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-14T01:52:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"Le contexte\nDoctrine développe des workflows dédiés aux professionnels du droit pour accélérer et améliorer la gestion de leurs dossiers. Parmi eux, la squad Jobexit accompagne les avocats et juristes en droit social dans la simulation de ruptures du contrat de travail, notamment en calculant les indemnités de départ, les indemnités en cas de contentieux, le calendrier de sortie et les allocations chômage.\nLe scope de la squad s'est considérablement enrichi au-delà du simulateur, en allant vers la gestion de cabinet d’avocat à travers plusieurs langues.\nTu peux trouver des détails sur l’ensemble de la stack sur Github !\nA savoir : il n’est pas nécessaire d’avoir une expérience professionnelle dans le domaine du droit, cependant l’envie de s’investir et de monter en compétence dans la compréhension des documents juridique est importante :)\nLes missions\nApporter de la compréhension et de l’automatisation autour des activités administratives et commerciales des avocats.\nGénérer automatiquement des documents administratifs propres aux dossiers de l’avocat.\nTirer parti de la jurimétrie et des simulations existantes pour apporter du contexte et des suggestions personnalisées autour d’une simulation de rupture de contrat de travail.\nÉtudier le développement d’un chatbot spécialisé sur la plateforme Jobexit.\nCollaborer avec différents types de profils (ingénieurs, product managers, product designers, juristes) pour identifier de nouveaux axes de développement produit.\nParticiper à la diffusion interne et à la consolidation de nos bonnes pratiques dans le chapter ML ; contribuer à l’élaboration de notre stratégie Engineering.\nFaire monter en compétence les autres ingénieurs de l’équipe.\nLe profil idéal\nUne expérience significative en termes de construction de produits reposants sur des modèles de machine learning, de classification, de résumé, de génération de contenu, etc.\nUne bonne connaissance du machine learning et en particuliers des modèles de deep learning.\nUne capacité à délivrer rapidement des prototypes dans un environnement product-centric.\nUn fort intérêt pour les sujets d’intelligence artificielle.\nL’envie d’identifier, d'analyser, et d'intégrer en production les dernières avancées scientifiques dans le domaine.\nUne bonne maîtrise du développement Python, avec un focus sur la construction d’algorithmes.\nLa maîtrise de la langue française et anglaise.\nLes à côtés du poste\nComme tous les ingénieurs de Doctrine, tu participeras à un de nos chapters transverses, en l’espèce du chapter Data Science.\nAu sein de ce chapter, tu contribueras à des projets internes pour améliorer nos process et notre vision long-terme. 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