ML / MLOps Engineer Engineering Paris Full-time · Permanent

Kleep; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Résumé du poste

Kleep is seeking an ML Platform Engineer to ship and scale its machine-learning systems from research to low-latency production serving, working directly with the CTO.

You will own end-to-end ML pipelines and ensure the recommendations engine remains fast as volume grows. Based in Paris, join a small, senior, international team with offices in Paris and New York.

Qualifications

• 3+ years of experience in ML/platform engineering.
• Proven ability to ship ML pipelines from research to production.
• Ability to own end-to-end ML platform lifecycle.

Responsabilités

• Industrialize model training, evaluation and deployment into repeatable pipelines.
• Serve recommendations at production latency and maintain speed as volume grows.
• Monitor model behaviour in production and close the loop from live data back to training.
• Own the full lifecycle of the ML platform: quality, security and performance included.

Connaissances

Fast learner

Team player

High energy

Entrepreneurial mindset

Outils

TypeScript

React

Node.js

Python

AWS

Git

Jira

Shopify

SFCC

Prestashop

Kotlin

Swift

Description du poste

Ship and scale the machine-learning systems at the heart of Kleep's product, working directly with the CTO.

You will ship and scale the machine-learning systems at the heart of Kleep, taking models from research to low-latency production serving, working directly with the CTO.

It suits an engineer who treats training pipelines, deployment and monitoring as one product, and who wants their infrastructure serving recommendations to shoppers around the clock.

The stack

You do not need to know all of it on day one.

• Front-end: TypeScript, React
• Back-end: Node.js, Python
• Cloud: AWS
• Tooling: Git, Jira
• A plus: the major commerce platforms (Shopify, SFCC, Prestashop)
• Also a plus: Kotlin or Swift

What you will do

• Industrialize model training, evaluation and deployment into repeatable pipelines
• Serve recommendations at production latency, and keep them fast as volume grows
• Monitor model behaviour in production and close the loop from live data back to training
• Own the full lifecycle of the ML platform: quality, security and performance included

Who you are

• Passionate about technology, curiosity is one of your defining strengths, and complex problems are what you enjoy
• A fast learner who quickly identifies and acquires whatever skill the goal requires
• High energy, high intellectual horsepower
• Eager to take a leading role in an ambitious entrepreneurial venture
• A strong team player who operates with real autonomy
• 3+ years of experience
• Start date: as soon as possible (flexible)
• Contract: permanent, full-time (CDI)
• Location: Paris (9th arrondissement)

Why Kleep

Kleep builds the intelligence layer for fashion e-commerce: sizing, discovery and AI imagery that 300+ brands run in production, Givenchy, Lacoste and Victoria Beckham among them. Every product is proven in live A/B tests, not in decks.

We are a small, senior, international team with offices in Paris (9th arrondissement) and, since January 2026, New York. The company is led by its founders: Federico (CEO, previously in venture capital and private equity) and Théophile (CTO, an ENS and Mines Paris engineer who worked in trading and quantitative research at Morgan Stanley and BNP Paribas).

Ownership here is real: ideas are heard, feedback flows both ways, and impact is tangible from day one. We hold a high bar, celebrate together, weekly team drinks, monthly events, annual off-sites, and stay serious about the work, never about ourselves.