AI role · Open offer

MLOps Engineer — enterprise AI platform

Dataiku

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At a glance

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

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 203 Rue de Bercy, Paris, IDF 75012, France · Hybrid
Compensation: EUR 75k-98k/year + bonus
Experience level: Senior
Team: MLOps
Benefits & perks

About this role

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

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).

Skills we're hiring for

Core capabilities—LLMs, automation, analytics, product, or domain expertise.

PythonKubernetesDocker

Tools & stack

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

AWS

You're a strong fit if…

You've shipped real work with AI—not only experimented in isolation.
Several listed skills or tools show up in your recent projects.
You can explain trade-offs (quality, cost, latency, safety) in plain language.

Apply

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What the employer asked for

Déploiement modèle avec monitoring drift en contexte client.

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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