AI role · Open offer

Lead Machine Learning Engineer

Focus: AI Software

Paris · 500-1000 employees · Scale-up · GenAI: Partial

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.

3 skills1 tool

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At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: 10 Avenue de l'Opera, Paris, IDF 75001, France
Compensation: EUR 95k-120k/year + bonus
Experience level: Lead
Team: AI Software
Benefits & perks

About this role

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

ChapsVision is hiring a Lead Lead Machine Learning Engineer on the AI Software team (Hybrid · Paris, 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.

ChapsVision — Data + AI software group

Role context: AI Software · based in Paris · ~500-1000 people · Scale-up · LLM/genAI focus: Partial.

You will own delivery across the AI lifecycle—data and evaluation, modeling or LLM-based features, production rollout, and close collaboration with product and domain experts—with pragmatic ownership and clear stakeholder communication.

Skills we're hiring for

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

TypeScript
Practical TypeScript experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.
React
Practical React experience applied to LLM features, retrieval, agents, and evaluation in production or rigorous pilots.
Python

Tools & stack

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

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: Apply from this listing on Ganloss so your candidate profile, optional CV link, and cover note reach the hiring team together.
Several of these show up in recent shipped work—not only on your CV: TypeScript, React, Python, and Docker.
You have led LLM & generative AI initiatives across teams—setting technical direction, review standards, and rollout plans others could follow.
You are comfortable with the hybrid rhythm (Hybrid · Paris, 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.

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What the employer asked for

Apply from this listing on Ganloss so your candidate profile, optional CV link, and cover note reach the hiring team together.

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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Top skills

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