{"id":4010714,"url":"https://alion.io/job/everience-mlops-engineer","title":"MLOps Engineer","company":{"id":3550,"name":"Everience","domain":"everience.com","url":"https://alion.io/company/everience","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":84,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":17,"computed_at":"2026-11-14T05:58:10Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","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":null,"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Terraform","optional":false}],"status":"live","first_seen_at":"2026-11-10T08:56:02Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-14T16:29:54Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Poste en consultance chez un de nos clients\nBienvenue dans l'univers de Size Up Consulting !\nSize Up Consulting, est plus qu'une simple société de conseil, elle se positionne comme partenaire engagé dans la réussite de ses clients et de ses collaborateurs, guidée par les 4 valeurs qui fédèrent notre collectif : la proximité , l'excellence, l'épanouissement et l'engagement.\nDans un paysage IT en constante évolution, les missions de Size Up Consultings sont d'optimiser la stratégie digitale et l'expérience utilisateur en exploitant pleinement le potentiel des données. La société est reconnue dans trois domaines d'expertise majeures : la Data, le DevOps, et l'accompagnement utilisateur.\nQuelques chiffres clés : 200 experts IT, une durée moyenne d’ancienneté de 5 ans, 31% des collaborateurs formés en 2022, l'appartenance à un groupe reconnu et présent dans le monde de l'IT depuis 30 ans\nPrêt à faire partie d'une entreprise bienveillante où votre réussite sera aussi la nôtre ? Rejoignez-nous !\n Localisation : Paris / Lille\nDurée : mission longue, supérieure à 6 mois\nDémarrage : dès que possible\nDans le cadre du développement d’une Data Factory, nous recherchons un Senior MLOps Engineer pour renforcer l’industrialisation, le déploiement et l’exploitation de modèles Machine Learning à grande échelle.\nLe consultant interviendra sur des environnements Cloud AWS et GCP et contribuera à la construction et à l’évolution d’une plateforme MLOps utilisée par les équipes Data Science et Machine Learning.\nMissions\nConcevoir et industrialiser des pipelines MLOps de bout en bout.\n\nAutomatiser les phases de training, validation, déploiement et continuous training.\n\nDéployer et exploiter des modèles Machine Learning en production.\n\nGérer le cycle de vie des modèles avec MLflow, Model Registry et les outils associés.\n\nConstruire et maintenir les infrastructures nécessaires aux workloads ML et GPU.\n\nDéployer et administrer les environnements conteneurisés avec Docker et Kubernetes.\n\nAutomatiser le provisioning des infrastructures avec Terraform.\n\nMettre en place les pipelines CI/CD dédiés aux workloads ML.\n\nContribuer au monitoring des modèles, à la détection de drift et à l’observabilité des plateformes.\n\nOptimiser les performances, la scalabilité et les coûts des infrastructures ML.\n\nAccompagner les Data Scientists et ML Engineers dans l’industrialisation de leurs modèles.\n\nParticiper à la documentation, aux bonnes pratiques et à l’amélioration continue de la plateforme.\n\nEnvironnement technique\nAWS et GCP\n\nPython\n\nTerraform\n\nDocker\n\nKubernetes\n\nMLflow\n\nModel Registry\n\nDatabricks\n\nAirflow\n\nGitHub Actions / CI/CD\n\nGPU infrastructure et autoscaling\n\nMonitoring et drift detection\n\nProfil recherché\nMinimum 3 ans d’expérience sur des problématiques MLOps, ML Platform Engineering ou DevOps appliqué au Machine Learning.\n\nExpérience réelle de mise en production de modèles ML.\n\nTrès bonne maîtrise de Python.\n\nSolide expérience Cloud sur AWS et/ou GCP.\n\nMaîtrise de Terraform, Docker et Kubernetes.\n\nExpérience de MLflow et de la gestion du cycle de vie des modèles.\n\nBonne compréhension des problématiques de monitoring, performance et scalabilité des modèles en production.\n\nUne expérience Databricks, Airflow, Feature Store ou infrastructures GPU constitue un réel atout.\n\nAnglais professionnel requis.\n\n Tous nos postes se conjuguent au féminin et au masculin et sont bien évidemment ouverts aux personnes en situation de handicap.","description_format":"text","description_chars":3458,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"French","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[{"name":"France","iso":"FR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Help Desk & Service Desk","Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-11-10T09:58:20Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":17,"reasons":["conf:3","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":null,"html_url":"https://alion.io/job/everience-mlops-engineer","json_url":"https://alion.io/job/everience-mlops-engineer.json","meta":{"generated_at":"2026-11-14T19:58:50Z","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":24854,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-15T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":3550},"rest":"https://alion.io/mcp/rest/get_company?id=3550"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Feverience-mlops-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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%2Feverience-mlops-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Feverience-mlops-engineer"},{"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/everience-mlops-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Feverience-mlops-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4010714}},{"tool":"search_jobs","arguments":{"company":"everience.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4010714},"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"}}