{"id":43976,"url":"https://alion.io/job/talan-ia-data-engineer","title":"IA & Data Engineer","company":{"id":3616,"name":"Talan","domain":"talan.com","url":"https://alion.io/company/talan","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":113,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Luxembourg City, Luxembourg"],"countries":["LU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":75000,"max_usd":194000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2324},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"OCR","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-08-06T06:31:20Z","employer_posted_date":"2026-08-06","last_verified_at":"2026-10-16T23:10:06Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Talan is an international consulting and technology expertise group that accelerates its clients' transformation through innovation, technology, and data. For over 20 years, Talan has been advising and supporting companies and public institutions in implementing their transformation and innovation projects in France and internationally.\nPresent on five continents, in 21 countries, the Group, Great Place To Work certified, will have more than 7,200 employees by the end of 2024. It aims to achieve a turnover of 850 million euros in the same year and exceed the one-billion-euro threshold by 2025.\nWith its research and innovation Centre, Talan puts innovation at the heart of its development and intervenes in the technological mutation sectors, such as Artificial Intelligence, Data Intelligence, Blockchains, to avail the growth of major groups and mid-cap companies through a committed and responsible approach. www.talan.com\nBy placing \"Positive Innovation\" at the heart of its strategy, the Talan Group is convinced that it is by serving people that technology amplifies its potential for society.\n AI & Data Engineer (H/F)\nDans le cadre du développement de ses initiatives Data & Intelligence Artificielle, un acteur majeur du secteur financier recherche un(e) AI & Data Engineer pour renforcer ses équipes et accompagner la mise en production de solutions analytiques et IA dans un environnement réglementé.\nVotre rôle\nVous interviendrez sur l’ensemble du cycle de vie des solutions data et IA, depuis la conception des pipelines de données jusqu’au déploiement de modèles de machine learning et de solutions basées sur l’IA générative. Vous contribuerez à la mise en place de systèmes robustes, sécurisés et conformes aux exigences réglementaires du secteur bancaire.\nVos missions\nConcevoir, développer et maintenir des pipelines de données et des produits data dédiés à l’analytique et à l’IA\n\nParticiper à la définition et à l’optimisation d’ architectures data hybrides (on-premise / cloud)\n\nDévelopper, déployer et superviser des modèles de machine learning (fraude, AML/KYC, performance commerciale, analyse documentaire)\n\nMettre en œuvre des solutions d’IA et de LLM : OCR, classification de documents, extraction d’informations, RAG\n\nIndustrialiser les développements via des pratiques CI/CD, MLOps et intégration par API\n\nAssurer la qualité, la traçabilité, la supervision des modèles et le respect des exigences de gouvernance IA\n\nRédiger la documentation technique et participer aux comités de validation\n\nCollaborer avec les équipes métier, IT, conformité et risques\n\nContribuer aux projets de transformation et accompagner des profils plus juniors\n\nVotre profil\nFormation supérieure en informatique, data, IA, mathématiques ou équivalent\n\n5 ans d’expérience ou plus en data engineering, data science ou IA, idéalement en environnement réglementé\n\nTrès bonne maîtrise de Python, SQL et Git\n\nSolides compétences en machine learning, NLP et évaluation de modèles\n\nExpérience avec Dataiku, Snowflake ou plateformes Big Data\n\nSens de l’industrialisation et de la mise en production\n\nAutonomie, esprit d’équipe et bonnes capacités de communication\n\nFrançais et anglais courants\n\nAtouts appréciés\nExpérience avec les LLM, prompt engineering, LangChain\n\nConnaissances en OCR et traitement de documents\n\nNotions de DevOps / MLOps (conteneurs, orchestration, CI/CD)\n\nCompréhension des enjeux bancaires, réglementaires et AML/KYC\n\nCapacité de synthèse et aisance à l’oral\n\nPourquoi rejoindre ce projet ?\nVous participerez à des projets Data & IA concrets et à fort impact, 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