{"id":2919856,"url":"https://alion.io/job/visian-ia-engineer","title":"IA Engineer","company":{"id":3908419,"name":"Visian","domain":"visian.tech","url":"https://alion.io/company/visian","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Welcome to the Jungle","truth_index":null},"role":"Industrial Engineering","role_family":"Industrial Engineering","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":["Courbevoie, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":45000,"max":65000,"currency":"EUR","period":"year","gross":null,"usd_annual":72898},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitLab CI","optional":false},{"name":"Hugging Face","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Ollama","optional":false},{"name":"Pinecone","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"vLLM","optional":false},{"name":"Weights & Biases","optional":false}],"status":"live","first_seen_at":"2026-10-20T08:12:59Z","employer_posted_date":"2026-10-20","last_verified_at":"2026-10-28T05:44:35Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Rejoignez Visian, une société de conseil spécialisée en innovation, design produit, gestion de projet IT et data. En tant qu'IA Engineer, vous serez responsable de la conception, du développement et de l'industrialisation de solutions basées sur l'intelligence artificielle. Vous travaillerez en étroite collaboration avec le CTO et serez impliqué dans le déploiement des modèles en production, l'intégration applicative et la veille technologique.\nMissions\nConcevoir, développer et industrialiser des solutions basées sur l'Intelligence Artificielle (Machine Learning, Deep Learning, LLM/IA Générative).\nDéployer les modèles en production, automatiser leur réentraînement et monitorer leurs performances.\nExposer les fonctionnalités IA via des APIs scalables pour les équipes Software.\nProfil recherché\nFormation & Expérience\nFormation : Bac+5 (École d'ingénieurs, Master IA / Data Science / Informatique).\n\nExpérience : 3 à 5 ans d'expérience en développement IA/ML avec une vraie culture de mise en production (Software Engineering + ML).\n\nCompétences Clés (Hard Skills)\nÉcosystème IA & Frameworks : Maîtrise de Python, PyTorch ou TensorFlow, et des librairies de l'écosystème (Hugging Face, LangChain/LlamaIndex, Scikit-Learn).\n\nIA Générative & Vector Databases : Expérience sur les modèles LLM, prompting/fine-tuning, architectures RAG et vector DBs (Qdrant, Pinecone, ChromaDB).\n\nMLOps & Software Engineering : Maîtrise de Docker, des APIs (FastAPI), des pipelines CI/CD (GitLab CI / GitHub Actions) et du suivi de modèles (MLflow, Weights & Biases).\n\nCloud & GPU : Pratique du déploiement sur Cloud (AWS, GCP ou Azure) et optimisation du calcul sur GPU.\n\nSavoir-être (Soft Skills)\nRigueur scientifique & Pragmatisme : Capacité à équilibrer l'état de l'art technologique et l'efficacité opérationnelle en production.\n\nPédagogie & Communication : Capacité à expliquer le fonctionnement et les limites d'un modèle d'IA à des profils non-techniques.\n\nCuriosité & Agilité : Veille constante dans un domaine qui évolue très rapidement et faculté d'adaptation.\n\nAnglais indispensable\n\n⭐ Les \"Plus\"\nExpérience en optimisation d'inférence (vLLM, Ollama, Quantization).\n\nNotions de sécurité et d'éthique de l'IA (IA responsable, RGPD, 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