{"id":675199,"url":"https://alion.io/job/ippon-ml-engineer-confirme-hf","title":"ML engineer confirmé (H/F)","company":{"id":447563,"name":"Ippon Technologies","domain":"ippon.tech","url":"https://alion.io/company/ippon-2","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"D","score":41,"open_postings":52,"ghost_share":0.981,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":46000,"max_usd":100000,"period":"year","method":"role_country_seniority_unknown","sample_n":121},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GitLab","optional":false},{"name":"Google Cloud Run","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenSearch","optional":false},{"name":"pgvector","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2025-02-04T13:36:22Z","employer_posted_date":"2025-02-04","last_verified_at":"2026-10-28T00:49:07Z","board_verified":true,"closed_at":null,"days_open":630,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":629},"description":"À propos d'Ippon Technologies\nDepuis 2002, Ippon Technologies est à la pointe du conseil et de l'expertise technique. Spécialisés dans le développement logiciel et mobile, la data, l'IA, le cloud, ainsi que l'architecture et la stratégie IT, nous sommes fier·e·s de compter plus de 700 collaborateur·trice·s passionné·e·s à travers le monde.\nNotre mission : accompagner nos clients dans leur transformation digitale avec excellence technique, collaboration et esprit sportif, pour innover et dépasser les attentes.\nCette culture du challenge et du dépassement se reflète autant dans nos missions que dans notre programme de formation, BlackBelt, inspiré des grades du judo et conçu pour faire progresser nos consultants étape par étape jusqu'à l’expertise.\nRejoins notre Champions League Data - IA\nNotre équipe Data rassemble 75 expert·e·s, dont 10 consultant·e·s en IA, engagé·e·s dans la création, le développement et le déploiement de solutions innovantes en Machine Learning et IA Générative dans le cloud public. Après avoir lancé nos activités en IA en 2023, nous passons à la vitesse supérieure cette année.\nPour accompagner cette dynamique, nous recherchons un·e ML Engineer confirmé·e prêt·e à relever des défis techniques ambitieux et à contribuer à des projets à fort impact.\nTon Futur Métier\nEn tant que ML ingénieur·e chez Ippon, tu auras pour missions de :\n- Concevoir et développer des architectures AI/ML scalables dans le cloud publicIntégrer des modèles AI/ML dans des applications existantes\n- Mettre en place et optimiser des pipelines MLOps pour industrialiser des modèles\n- Implémenter des approches d’évaluation et de monitoring de modèles de ML ou de systèmes d’IA générative\n- Développer des solutions d’IA générative basées sur des LLM et des systèmes de RAG intégrant des bases de données vectorielles\n- Déployer des modèles personnalisés ou intégrer des modèles managés\n- Collaborer avec des équipes pluridisciplinaires (notamment Data Science, Data Engineering, DevOps et métier)\n- Participer à la veille technologique et suivre les évolutions et innovations en IA\n- Être sensibilisé·e et sensibiliser les clients aux aspects légaux ou éthiques de l’IA\nNotre écosystème technique\n- Cloud public : AWS, GCP, Azure\n- Services et plateformes AI/ML : SageMaker, Bedrock, Vertex AI\n- MLOps : MLflow, Kubeflow\n- Orchestration : Airflow, MWAA, Step Functions, Cloud Composer, Cloud Workflows\n- CI/CD : GitLab, Terraform\n- Conteneurisation : Docker, Kubernetes\n- Déploiement : ECS, EKS, Lambda, Cloud Run, GKS, Cloud Functions\n- Développement : Python, FastAPI, Flask, LangChain, LlamaIndex\n- Bases vectorielles : PostgreSQL (pgvector), Elasticsearch / OpenSearch, Vertex AI Vector Search\n- Bonnes pratiques : Tests, Craftsmanship, Agilité\nComment on t’accompagne chez Ippon ?\n- Un suivi personnalisé avec un·e manager technique qui comprend ton métier.\n- Une trajectoire de carrière personnalisée : nouvelles responsabilités, rôle de tuteur·trice ou manager technique, accompagnement pour devenir speaker.\n- Des formations continues et des certifications, notamment via notre programme BlackBelt.\n- Participation à nos dispositifs de partage de connaissances : meetups, blog, mentorat.\nÀ propos de notre agence toulousaine\nCréée en 2018, notre agence de Toulouse regroupe 25 collaborateur·trice·s. Située en hyper centre, notre équipe intervient sur des projets à forte technicité, tant sur les sites clients que depuis notre centre de services. Nous organisons régulièrement des événements techniques et conviviaux.\nProcessus de recrutement\nPremier contact par téléphone pour faire connaissance.\nEntretien pour discuter de ton projet professionnel.\nÉchange technique mené par nos expert·e·s.\nÉchange de closing.\nPrêt·e à décrocher une Belt IA ?\nRejoins-nous et participe à une aventure enrichissante et stimulante. 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