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AI role · Open offer

Développeur IA — transformers & inference

Hugging Face

Permanent (CDI)
Full-time
Senior
Open-source ML
Hybrid
20 Rue de la Paix, Paris, IDF 75002, France · Hybrid
Paris, France
EUR 65k–90k/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: 20 Rue de la Paix, Paris, IDF 75002, France · Hybrid
Compensation: EUR 65k–90k/year + BSPCE
Experience level: Senior
Team: Open-source ML
Benefits & perks: BSPCE, remote partiel, communauté open-source.
How to apply: Feature Transformers, endpoint inference ou Space avec métriques latence/qualité.
Company site: huggingface.co
Listed: Mar 12, 2027

About this role

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

Hugging Face is hiring a Senior Développeur IA — transformers & inference on the Open-source ML 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.

Hugging Face héberge la plateforme open-source la plus utilisée au monde pour les modèles NLP et multimodaux — équipe produit à Paris.

Développeur IA (hybride) : endpoints inference, intégrations Transformers et features Spaces avec latence et qualité mesurées.

Poste comparable aux offres développeur IA publiées sur le marché français (LLM, MLOps) — voir aussi [Expira.io](https://expira.io/) pour le panorama salaires Paris.

Missions

Shipper services inference et APIs modèles avec monitoring.
Contribuer à la lib Transformers ou à l'écosystème Hub.
Documenter benchmarks reproductibles pour releases.

Stack & environnement

Python, PyTorch, NLP, Docker, Kubernetes.
Hybrid Paris Opéra.

Profil recherché

3+ ans ML/NLP prod ; éligibilité travail 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.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
NLP
Text pipelines: tokenization, fine-tuning, evaluation, and guardrails for user-facing language features.

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: Feature Transformers, endpoint inference ou Space avec métriques latence/qualité.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, NLP, 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 · 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.
You read the full listing (comp: EUR 65k–90k/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

Feature Transformers, endpoint inference ou Space avec métriques latence/qualité.

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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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Développeur IA — transformers & inference

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