Ir al contenido principal
MLOps Engineer — enterprise AI platform
Dataiku
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
3 habilidades 1 herramienta
Compartir este rol
Copiar enlace
Empleo
Modalidad Hybrid
Ubicación 203 Rue de Bercy, Paris, IDF 75012, France · Hybrid
Compensación EUR 75k-98k/year + bonus Nivel de experiencia Beneficios Mutuelle, télétravail partiel, formation. Cómo aplicar Déploiement modèle avec monitoring drift en contexte client.
Publicada 21 jun 2026
Actualizada 8 jul 2026 Dataiku is hiring a Senior MLOps Engineer — enterprise AI platform on the MLOps team (Hybrid · Paris, France). This is a hands-on role in LLM & generative AI —not a generic “AI enthusiast” post.
You will own LLM features, retrieval, agents, and evaluation end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.
Dataiku est une plateforme enterprise AI end-to-end utilisée par les grandes organisations. MLOps et gouvernance sont au cœur du produit.
Ingénieur·e MLOps (Paris) : déploiement modèles, monitoring drift, et intégration LLM dans les projets clients.
What you will do
Ship production MLOps enterprise with clear evaluation, monitoring, and rollback paths—not demo-only notebooks. Partner with product, design, and domain experts on requirements, trade-offs, and safe rollout. Improve data quality, labeling, and offline metrics that correlate with business KPIs. Document architectures and runbooks for on-call and customer-facing teams. Mentor engineers on testing, observability, and responsible AI practices. What we look for
Strong Python and modern ML/LLM stack experience with multiple shipped features. Comfort with SQL, experimentation, and communicating results to non-technical stakeholders. Pragmatic ownership from prototype to production—including cost and latency budgets. Eligible to work in the listed country; professional English (French a plus for Paris roles). Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
Kubernetes
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
Docker
Containerized services and reproducible dev environments for ML and LLM workloads.
✓ You can show evidence in your application: Déploiement modèle avec monitoring drift en contexte client. ✓ Several of these show up in recent shipped work—not only on your CV: Python, Kubernetes, Docker, and AWS. ✓ You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals. ✓ You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote. ✓ You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords. ✓ You read the full listing (comp: EUR 75k-98k/year + bonus, benefits in At a glance) and your expectations align. Lo que pide la empresa
Déploiement modèle avec monitoring drift en contexte client.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
Ofertas similares Otros anuncios que comparten habilidades o herramientas — útil para stacks comparables o alternativas.
Lead MLOps Engineer — GPU clusters & vLLM
Paris · 1000-2000 employees · Scale-up · GenAI: Partial
Freelance / autónomo Tiempo completo Lead ML platform Hybrid Amsterdam, Netherlands · Hybrid €95k–€125k or competitive day-rate path
AI Developer — deep learning products InstaDeep
Tiempo completo Senior Applied research Hybrid Les Berges du Lac II, Tunis 1053, Tunisia · Hybrid Tunis, Tunisia EUR 32k–48k/year + bonus
Senior ML Platform Engineer Modal
Tiempo completo Senior Serverless ML Hybrid 169 Madison Avenue, New York, NY 10016, United States · Hybrid New York, United States $170k–$225k + equity
Lead ML Platform Engineer — core banking Thought Machine
Tiempo completo Lead ML platform Hybrid Quartermile One, 15 Lauriston Place, Edinburgh, Scotland EH3 9EN, United Kingdom · Hybrid Edinburgh, United Kingdom £95k–£125k + equity
ML Engineer — GPU cloud Lambda
Tiempo completo Senior Cloud ML Hybrid 1101 E 5th Street, Austin, TX 78702, United States · Hybrid Austin, United States $150k–$200k + equity Ver todas las ofertas →
Título
MLOps Engineer — enterprise AI platform
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
Publicar oferta Enterprise AI Publicada el 6 may 2026 Actualizada el 3 jul 2026
Our Amsterdam-based ML platform team owns GPU pools, model registry, and predictable rollouts for dozens of internal teams. You will set technical direction as we expand multi-cloud options.Hybrid role with flexible EU remote weeks; on-call rotation is shared and compensated.What you will doOwn…
Beneficios · NS business card, home office, mental health coverage.
Python Kubernetes AWS Docker
InstaDeep is an AI company founded in Tunis, now operating across London, Paris, Cape Town, and beyond — known for decision-making AI, bioinformatics, and large-scale deep learning.AI Developer (Tunis hybrid): productize research into client-facing systems — scheduling, routing, protein design…
Beneficios · GPU access, conference budget, hybrid Tunis / remote days.
Python PyTorch LangChain Docker
Herramientas Kubernetes AWS
Modal provides serverless GPU infrastructure for AI teams. Platform engineers make it trivial to run training, batch jobs, and inference at scale.Senior ML Platform Engineer (NYC): schedulers, cold-start optimisation, and developer experience for Python-first ML workflows.Hybrid NYC — equity and…
Beneficios · Equity, NYC hub, GPU credits.
Thought Machine builds Vault — cloud-native core banking used by Lloyds, Standard Chartered, and other tier-1 banks.Lead ML Platform Engineer (Edinburgh): feature stores, model registry, and batch inference for fraud, credit, and personalisation use cases inside regulated environments.Hybrid…
Beneficios · Equity, Edinburgh hub, flexible hybrid.
Herramientas Docker PostgreSQL
Lambda Cloud offers GPU infrastructure for training and inference-heavy workloads.ML Engineer — GPU platform (Austin): scheduling, observability, and customer-facing performance tooling.What you will doDeliver production-grade GPU cloud ML platform with measurable quality, latency, and cost…
Beneficios · GPU access, Austin hub.