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AI role · Open offer

Senior ML Engineer — cloud observability

OVHcloud

Permanent (CDI)
Full-time
Senior
Platform AI
Hybrid
255 Rue Francis de Pressensé, 34170 Castelnau-le-Lez, France · Hybrid
EUR 55k–75k/year + BSPCE

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 255 Rue Francis de Pressensé, 34170 Castelnau-le-Lez, France · Hybrid
Compensation: EUR 55k–75k/year + BSPCE
Experience level: Senior
Team: Platform AI
Benefits & perks: BSPCE, hybrid Montpellier metro, remote days.
How to apply: Anomaly detection or capacity forecasting on hyperscale infra logs.
Company site: www.ovhcloud.com
Listed: Jun 23, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

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.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

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.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

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.

Apply

Candidate accounts only: add your headline and bio on My account, and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Anomaly detection or capacity forecasting on hyperscale infra logs.

Sign in with a candidate account to apply

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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