AI role · Open offer

ML Engineer — customer solutions

Dataiku

Permanent (CDI)
Full-time
Senior
Professional services
Hybrid
45 Rue de la République, Lyon, ARA 69002, France · Hybrid
Lyon, France
EUR 58k–80k/year + bonus

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.

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At a glance

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

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 45 Rue de la République, Lyon, ARA 69002, France · Hybrid
Compensation: EUR 58k–80k/year + bonus
Experience level: Senior
Team: Professional services
Benefits & perks

About this role

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

Dataiku is hiring a Senior ML Engineer — customer solutions on the Professional services team (Hybrid · Lyon, France). This is a hands-on role in ML platform & MLOps—not a generic “AI enthusiast” post.

You will own training, deployment, observability, and cost control 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 — équipe Lyon en croissance sur projets enterprise AI.

ML Engineer solutions : GenAI/MLOps livrés sur Dataiku.

Missions

Accompagner clients CAC40 sur Dataiku.
Drift monitoring et runbooks.

Stack & environnement

Python, Dataiku, Kubernetes, AWS.

Profil recherché

ML delivery ; 3+ ans.

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.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
Machine Learning

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.
AWSTool
Regular use of AWS in the ML platform & MLOps stack—configuration, debugging, and team conventions.

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: Projet GenAI ou MLOps livré sur Dataiku avec gouvernance.
Several of these show up in recent shipped work—not only on your CV: Python, SQL, Machine Learning, MLOps, and Kubernetes.
You have owned training, deployment, observability, and cost control in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Lyon, 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 58k–80k/year + bonus, benefits in At a glance) and your expectations align.

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What the employer asked for

Projet GenAI ou MLOps livré sur Dataiku avec gouvernance.

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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