20 meilleures offres (ai/ml engineer, france) (à pourvoir)

AI Engineer
In Tandem —Île-de-France
- De 60 000 € à 80 000 € par an
- Temps plein
- Télétravail
- Intelligence artificielle
- Python
Postuler rapidement
Data Scientists / ML Engineers
Coface —Bois-Colombes (92)
- Temps plein
- Télétravail
- Anglais
- Linux
- Python
Postuler rapidement
AI Platform Engineer (EU/UK Based - Remote)
Duvo Inc —Eu (76)
- De 110 000 € à 220 000 € par an
- Temps plein
- Télétravail
- Conception de systèmes
- Production
- Intelligence artificielle
AI Engineer | EMEA/LATAM
Starbridge —Eu (76)
- De 120 000 € à 140 000 € par an
- Temps plein
- Télétravail
- Niveau Licence
- Intelligence artificielle
- Python
Deep Learning Engineer
Implicity —Paris (75)
- De 45 000 € à 55 000 € par an
- Télétravail partiel
- Niveau Doctorat
- Anglais
- Master
Site Reliability Engineer (EU/UK Based - Remote)
Duvo Inc —Eu (76)
- De 110 000 € à 220 000 € par an
- Temps plein
- Télétravail
- Conception de systèmes
- Intelligence artificielle
- Python
Lead AI Engineer
All Your BI —Paris (75)
- De 7 400 € à 9 200 € par mois
- Temps plein
- Télétravail
- Azure
- Anglais
- Niveau Licence
Postuler rapidement
AI Engineer - Remote Work
BairesDev —Paris (75)
- Anglais
- Machine learning
- Intelligence artificielle
- Horaires flexibles
il y a 11 jours
Applied AI Engineer
Block Labs —Grand Est
- Temps plein
- Télétravail
- Conception de systèmes
- Bases de données
- SQL
il y a 9 jours
ML Research Engineer
White Circle —Paris (75)
- Temps plein
- Télétravail partiel
- Anglais
- Python
Data Scientist
Sanofi —Lyon (69)
- De 54 400,00 € à 72 533,33 € par an
- Niveau Doctorat
- Anglais
- Master
AI Engineer (France)
Meltwater Group —Paris (75)
- Azure
- Java
- Master
Applied Scientist / Research Engineer, AI4Engineering
Mistral AI —Paris (75)
- Temps plein
- Niveau Doctorat
- Anglais
- Master
Consultant(e) Data Scientist / AI Engineer
Licorne Society —Paris (75)
- De 45 000 € à 60 000 € par an
- Temps plein
- Azure
- Ingénierie
- Master
Postuler rapidement
il y a 6 jours
QA Engineer
cozycozy —Paris (75)
- Temps plein
- Télétravail partiel
- Niveau Licence
- Intelligence artificielle
- Leadership
Postuler rapidement
AI Scientist - Agentic Engineering
Mistral AI —Paris (75)
- Temps plein
- Anglais
- Machine learning
- Linux
il y a 10 jours
Open-Source Machine Learning Engineer - EMEA Remote
Hugging Face —Paris (75)
- Temps plein
- Télétravail
- Machine learning
- Python
Postuler rapidement
Machine Learning Engineer
Gorgias —Paris (75)
- De 95 680 € à 105 752 € par an
- Temps plein
- Anglais
- Master
- Machine learning
AI Engineer
Parallel —Paris (75)
- Temps plein
- Intelligence artificielle
- Python
Postuler rapidement
AI Founding Engineer H/F
Almond —Sèvres (92)
- De 60 000 € à 85 000 € par an
- Télétravail
- Esprit d'analyse
- Intelligence artificielle
- Remboursement de frais de téléphone portable

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AI Engineer

In Tandem -
Île-de-France

Postuler rapidement

Détails de l'emploi

CDI | Temps plein
De 60 000 € à 80 000 € par an

Qualifications

CI/CD
MCP
Slack
Docker
Intelligence artificielle
Python

Description complète du poste

Description

At In Tandem, we build technology that helps families manage everyday routines and navigate life’s biggest transitions. Through our four brands—OurFamilyWizard, Cozi, FamilyWall, and Custody Navigator—we help families stay organized, communicate well, and foster healthy childhoods.

We believe technology should strengthen relationships and make daily coordination less complicated. Everything we create is designed to lighten the mental load, reduce conflict, and support families through big and small moments.

If you want your work to make a real difference in the daily lives of parents and kids, In Tandem is the place where your impact will truly matter.

As our AI Engineer, you'll keep the AI infrastructure our products and teams run on fast, efficient, and reliable, and you'll build with it. You'll run and optimize our self-hosted inference stack on our own GPU hardware, build the internal platform our employees work through, and ship user-facing agents inside the apps. Your work spans OurFamilyWizard, Cozi, and FamilyWall, and the platforms that power how we build.

This is a hands-on technical role at its core: you own the technical side of running our models on our own hardware. But it's not siloed, and we don't want it to be. We're looking for someone who also wants to pick up app-layer work and ship product-facing features, and does both well.

What you will accomplish:

Run and optimize our self-hosted inference stack

Run the inference serving layer on our own GPU hardware: choose and tune the serving stack (vLLM, SGLang, TensorRT-LLM) for high throughput and low latency.
Optimize aggressively: tensor parallelism, quantization (FP8, AWQ, GPTQ), KV-cache and prefix caching, continuous batching, speculative decoding, concurrency tuning.
Serve multiple models and features off shared hardware: multi-LoRA, routing, and request scheduling that balances internal workloads against latency-sensitive product traffic.

Keep our AI fast, efficient, and observable

Make our AI workloads efficient: improve latency, throughput, and GPU utilization so we get the most out of what we run.
Build the visibility: instrument performance and usage across our AI surfaces so there's clear data on how everything is running.
Surface the technical tradeoffs (performance, latency, efficiency) so the people making the calls have what they need to make them.

Build AI features and proactive agents

Ship the in-app agent layer that helps families coordinate: proactive nudges, smart suggestions, agents that summarize, draft, schedule, and act for busy parents.
Build the substrate underneath: tools, memory, orchestration, guardrails, and evaluation harnesses, integrated cleanly with production APIs alongside our architecture team.
Work in nimble pairs with feature owners, standing up whatever's needed to test an idea, including a vibe-coded UI when that's the fastest path to a real customer. Ship rough, learn fast, harden what works.

Who you are:

Technical and hands-on with infrastructure: you like running real systems on real hardware and keeping them fast and reliable.
A full-stack builder who wants the app layer too: you don't want to be boxed into infra. When a feature needs shipping, you want to pick it up and ship it, not just hand it off.
Performance-minded: you treat latency, throughput, and efficiency as things to engineer deliberately.
Rapid-prototyping and AI-first, with modern tooling (Claude Code, agent SDKs) part of your craft.
Motivated by work that matters. Families rely on these products during real moments in their lives.

What you bring:

5+ years shipping production software, including meaningful applied AI or ML work.
Demonstrated experience running and optimizing self-hosted LLMs on dedicated multi-GPU hardware: a serving stack (vLLM, SGLang, or TensorRT-LLM) and the optimization that comes with it (tensor parallelism, quantization, batching, KV cache).
A track record of optimizing inference performance and efficiency (latency, throughput, GPU utilization).
Strong Python and engineering fundamentals, with the full-stack range to stand up a quick UI, and the genuine desire to work app-layer features and not only infra.
Hands-on with agent frameworks (Claude Agent SDK, LangGraph, or similar), LLM APIs, embeddings, and RAG.
Comfortable with AWS and the devops this role owns: Docker, CI/CD, monitoring, and observability.
Experience building internal tooling or platforms others depend on. Bonus for Slack apps, MCP, or agent orchestration at team scale.

Why Join?

We’re redefining family technology.
In Tandem brings together a growing portfolio of trusted tools that support families, and the professionals who guide them, through the moments that matter most. We bring clarity to chaos and stability to daily family life, helping parents feel less stressed so kids can have healthier childhoods.

Scale meets startup energy.
With more than 20 years of impact and a strong market presence, we’re entering a bold new chapter of growth. We have the foundation, the momentum, and the ambition to go further: expanding our reach, deepening our impact, and elevating the tools families and professionals rely on every day.

Purpose-driven. Performance-focused. People-first.
Our culture is rooted in accountability, curiosity, and collaboration. We value diverse perspectives, thoughtful problem-solving, and teammates who care deeply about building something that matters.

About In Tandem

We believe technology can champion deeper connections within families, strengthen bonds, and improve communication. We're building solutions that foster connection, organization, and peace-of-mind throughout key stages and milestones of family life.

Postuler rapidement

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : ai/ml engineer (france)

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