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OVHcloud
Unbefristet (CDI) Vollzeit Senior Platform AI Hybrid 255 Rue Francis de Pressensé, 34170 Castelnau-le-Lez, France · Hybrid EUR 55k–75k/year + BSPCE Diese Ausschreibung ist optimiert für KI-native Talente : klare Skills und Tools, damit Kandidaten vor der Bewerbung einschätzen können, ob es passt — und Sie weniger Fehlpassungen screenen.
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Arbeitsort-Modell Hybrid
Standort 255 Rue Francis de Pressensé, 34170 Castelnau-le-Lez, France · Hybrid
Vergütung EUR 55k–75k/year + BSPCE Benefits BSPCE, hybrid Montpellier metro, remote days. Bewerbung Anomaly detection or capacity forecasting on hyperscale infra logs.
Veröffentlicht 23. Juni 2026
Aktualisiert 3. Aug. 2026 OVHcloud is hiring a Senior Senior ML Engineer — cloud observability on the Platform AI team (Hybrid · Castelnau-le-Lez, 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.
OVHcloud is Europe's leading hyperscaler — bare metal, public cloud, and observability from engineering sites including Castelnau-le-Lez near Montpellier.
Senior ML Engineer (hybrid): anomaly detection , capacity forecasting , and SRE copilots on petabyte-scale telemetry.
About OVHcloud
French cloud champion with global datacenter footprint. Montpellier metro team focuses on platform reliability AI. Strong open-source and EU data-sovereignty culture. What you will do
Detect incidents early from metrics, logs, and traces. Forecast power and bandwidth for datacenter planning. Build RAG assistants for runbook navigation. Stack & environment
Python, PyTorch, Spark, Prometheus, Kubernetes. Hybrid Castelnau-le-Lez; French and English teams. What we look for
4+ years ML for observability or infra. Eligible to work in France. Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Spark
Distributed feature generation and batch scoring on large tabular or event datasets.
Kubernetes Tool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
Docker Tool
Containerized services and reproducible dev environments for ML and LLM workloads.
✓ You can show evidence in your application: Anomaly detection or capacity forecasting on hyperscale infra logs. ✓ Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Spark, and Kubernetes. ✓ 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 · Castelnau-le-Lez, 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 55k–75k/year + BSPCE, benefits in At a glance) and your expectations align. Was der Arbeitgeber möchte
Anomaly detection or capacity forecasting on hyperscale infra logs.
Mit Kandidatenkonto anmelden, um sich zu bewerben
Registrieren Sie sich, fügen Sie Überschrift und Bio hinzu, dann können Sie unter Mein Konto einen CV-Link oder PDF anhängen, bevor Sie sich bewerben. So bleiben Bewerbungen mit Ihrem Profil verknüpft.
Vorschläge
KI-Talente, die auch passen könnten Profile nach Überschneidung mit Skills und Tools dieser Rolle — hilfreich beim Team-Recruiting oder für Alternativen.
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