{"id":675187,"url":"https://alion.io/job/ippon-ml-engineer-hf","title":"ML Engineer 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":"2026-10-29T05:49:05Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":null,"work_mode":"on_site","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":"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":"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":"2025-10-13T13:21:07Z","employer_posted_date":"2025-10-13","last_verified_at":"2026-10-29T11:33:10Z","board_verified":true,"closed_at":null,"days_open":380,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":380},"description":"ML Engineer - Data & IA\nQui sommes-nous ?\nIppon Technologies, c’est l’énergie du collectif au service de la technologie !\nDepuis 2002, nous sommes à la pointe du conseil et de l’expertise technique, spécialisés dans le développement logiciel, la Data, l’IA, le Cloud, ainsi que l’architecture et la stratégie IT. Nous sommes fiers de compter plus de 600 collaborateur·trice·s passionné·e·sà travers le monde.\nCréée en 2017, l’agence de Lyonrassemble 60 expert·e·s intervenant sur des projets à forte technicité ou en conseil et architecture : Software Engineer, Data/IA, DevOps, Cloud, Produit, Design. La pluridisciplinarité, l’expertise, l’écoute, l’adaptabilitéet le partage de connaissancesfondent notre engagement au service de nos clients et de nos talents.\nNotre mission : accompagner nos clients dans leur transformation digitaleavec excellence technique, collaboration et esprit sportif, pour innover et dépasser les attentes.\nRejoins notre équipe Data & IA :\nNotre pôle Data & IArassemble 75 expert·e·s, engagé·e·s dans la création, le développement et le déploiement de solutions innovantes en Machine Learninget IA Générativesur le cloud public.\nAprès le lancement de nos activités IA en 2023, nous accélérons notre croissancecette année et recherchons un·e ML Engineerpour contribuer à des projets à fort impact technique et business.\nTon futur métier :\nEn tant que ML Engineer, tu participeras à des projets d’envergure pour nos clients en :\nConcevant et développant des architectures AI/ML scalablesdans le cloud public ;\nIntégrant des modèles AI/MLdans des applications existantes ;\nMettant en place et optimisant des pipelines MLOpspour industrialiser les modèles ;\nImplémentant des solutions d’IA générative(LLM, RAG, vector DB) ;\nDéployant des modèles personnalisésou managés ;\nCollaborant avec des équipes Data Science, Data Engineering, DevOps et métier;\nParticipant à la veille technologiqueet en sensibilisant les clients aux enjeux éthiques et légauxde l’IA.\nNotre écosystème technique :\nCloud public: AWS, GCP, Azure\nAI/ML Platforms: SageMaker, Bedrock, Vertex AI\nMLOps: MLflow, Kubeflow\nOrchestration: Airflow, MWAA, Step Functions, Cloud Composer, Cloud Workflows\nCI/CD: GitLab, Terraform\nConteneurisation: Docker, Kubernetes\nDéploiement: ECS, EKS, Lambda, Cloud Run, GKS, Cloud Functions\nDéveloppement: Python, FastAPI, Flask, LangChain, LlamaIndex\nBases vectorielles: PostgreSQL (pgvector), OpenSearch, Vertex AI Vector Search\nBonnes pratiques: Tests, Craftsmanship, Agilité\nComment on t’accompagne chez Ippon ?\nTravailler avec une équipe où tu pourras apporter tes propres idées;\nSuivi personnalisé avec un·e manager techniquequi comprend ton métier ;\nUne trajectoire de carrière personnalisée: nouvelles responsabilités, rôle de tuteur·trice ou manager technique, accompagnement pour devenir speaker ;\nFormations continues et certifications, notamment via notre programme BlackBelt(AWS/GCP/Azure, mentoring, coaching) ;\nPour mieux découvrir notre culture et nos expertises, tu peux jeter un œil à notre blog technique : https://blog.ippon.fr/\nEt si notre univers t’inspire, n’hésite pas à postuler: nous serions ravi·e·s d’en apprendre plus sur tes aspirations professionnelleset de te présenter plus en détail l’aventure Ippon.","description_format":"text","description_chars":3259,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced 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