{"id":3302106,"url":"https://alion.io/job/naxotech-chef-de-projet-integration-devops-ml-engineer-cloud","title":"Chef de projet Intégration DEVOPS & ML Engineer Cloud","company":{"id":3908598,"name":"Naxotech","domain":"naxotech.com","url":"https://alion.io/company/naxotech","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"freelance","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Paris, France"],"countries":["FR"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":450,"max":530,"currency":"EUR","period":"day","gross":null,"usd_annual":148250},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Amazon CloudWatch","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon Kinesis","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bicep","optional":false},{"name":"Boto3","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"Computer Vision","optional":false},{"name":"Datadog","optional":false},{"name":"Docker","optional":false},{"name":"FinOps","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitLab CI","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-10-26T22:06:17Z","employer_posted_date":null,"last_verified_at":"2026-10-26T22:06:17Z","board_verified":false,"closed_at":null,"days_open":8,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":8},"description":"Au sein du Pôle Infrastructure Technique de la DSI, la squad IA / MLOps assure l'industrialisation, le déploiement, la sécurisation et le maintien en condition opérationnelle des solutions d'Intelligence Artificielle (Machine Learning, Computer Vision, GenAI/LLM) sur des environnements multi-cloud (AWS, Azure et GCP). Pour accompagner les projets, il est recherché un Chef de projet Intégration, DevOps & ML Engineer expérimenté intervenant à l'interface entre les équipes Métier / Data Science et les équipes Infrastructure / Exploitation. Le prestataire formera un binôme technique avec une ingénieure ML/MLOps déjà en poste afin d'assurer la continuité de service et de faire évoluer deux volets de cas d'usage ML en production. Volet 1 : Cas d'usage ML sur AWS : traitement de données opérationnelles à grande échelle, EDA sur données industrielles bruitées, conception et maintien d'algorithmes de rapprochement / matching spatio-temporel, services serverless et génération documentaire ; environnement technique : Amazon SageMaker, Amazon Bedrock, Lambda, S3, Glue, Kinesis/Firehose, Athena, Comprehend/Textract, boto3 ; socles data ELK et BigQuery ; IaC Terraform. Volet 2 : Cas d'usage MLOps sur Azure : industrialisation de modèles de bout en bout (versionning, pipelines d'entraînement, gate d'évaluation, registry, blue/green, monitoring de drift), déploiement multi-sites et optimisation incluant des modèles d'optimisation par renforcement (RL / SAC) ; environnement technique : Azure Machine Learning, Microsoft Fabric / OneLake, Azure DevOps, Azure AI, AKS, IaC Terraform / Bicep. Objectifs : concevoir et maintenir des architectures cloud hybrides AWS / Azure pour charges IA ; développer et fiabiliser pipelines CI/CD ML ; intégrer services cognitifs managés ; développer modules Terraform réutilisables ; accompagner la modernisation vers conteneurs et serverless ; assurer support N3 IA/Data et montée en compétence du Run ; auditer et optimiser les coûts Cloud IA, garantir sécurité et conformité des données. Livrables attendus : dossiers d'architecture de référence, modules Terraform versionnés, pipelines MLOps automatisés, audits FinOps IA, documentation d'exploitation et fiches de transfert vers le Run. Démarrage : ASAP. Abonnez-vous à la page NaxoTech sur LinkedIn pour découvrir nos offres régulières\nProfil recherché\nCompétences indispensables : Data Science appliquée (Avancé) : Python avancé, EDA, géomatching / rapprochement spatio-temporel, feature engineering, évaluation robuste de modèles sur données industrielles bruitées, notions d'apprentissage par renforcement (RL / SAC). MLOps & déploiement (Avancé) : industrialisation CI/CD ML (gate d'évaluation, versioning data/modèles, model registry, stratégies d'inférence real-time/batch, blue/green, monitoring de drift), maîtrise d'Azure Machine Learning et Microsoft Fabric / OneLake. Cloud IA multi-cloud (Avancé AWS & Azure) : services AWS (Lambda, S3, Glue, SageMaker, Bedrock) ET Azure (Azure ML, Azure OpenAI, AI Search, Cognitive Services). IaC, conteneurs & CI/CD (Confirmé à Avancé) : Terraform confirmé/avancé (modules, gestion d'état), notions ARM / Bicep ou CloudFormation ; Docker et orchestration Kubernetes (AKS / EKS) ; Git / Azure Repos, Azure DevOps et/ou GitLab CI. Data, réseau & observabilité (Confirmé) : ELK, BigQuery, monitoring de production (Azure Monitor, Datadog, CloudWatch), réseau cloud (VPC, souscriptions, NACL/RTB/SG, NLB/ALB/AG), sécurité (Private Endpoints, RBAC, KMS) et FinOps IA. Compétences et certifications appréciées : Microsoft Fabric (enjeu fort) ; écosystème complémentaire : GCP / Vertex AI (niveau notions), Computer Vision, architectures Serverless. Niveaux de maîtrise attendus : Terraform confirmé à avancé · AWS AI avancé · Azure AI avancé · GCP ML notions. Certifications appréciées : HashiCorp Terraform Associate, AWS Certified ML Engineer / Specialty, AWS Solutions Architect Associate, Azure AI Engineer Associate, Fabric Data Engineer Associate.","description_format":"text","description_chars":3993,"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":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","IT Staffing & Staff Augmentation"],"lifecycle":[{"event":"open","at":"2026-10-26T23:56:30Z"}],"visa":[],"liveness":{"score":87,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.867,"p_room":1,"age_days":8,"expected_fill_days":25,"reasons":["seen:8","velocity","win:early"],"computed_at":"2026-11-04T06:34:25Z"},"pay":{"stated_usd_annual":148250,"is_top_pay":false},"html_url":"https://alion.io/job/naxotech-chef-de-projet-integration-devops-ml-engineer-cloud","json_url":"https://alion.io/job/naxotech-chef-de-projet-integration-devops-ml-engineer-cloud.json","meta":{"generated_at":"2026-11-04T15:43:28Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":24091,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3908598},"rest":"https://alion.io/mcp/rest/get_company?id=3908598"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fnaxotech-chef-de-projet-integration-devops-ml-engineer-cloud"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fnaxotech-chef-de-projet-integration-devops-ml-engineer-cloud"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fnaxotech-chef-de-projet-integration-devops-ml-engineer-cloud"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/naxotech-chef-de-projet-integration-devops-ml-engineer-cloud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fnaxotech-chef-de-projet-integration-devops-ml-engineer-cloud"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3302106}},{"tool":"search_jobs","arguments":{"company":"naxotech.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3302106},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}