data and AI recruitment agency
your hires in data and AI, handled by people who can tell the roles apart.
We combine our data, our data experts and our AI algorithms to hand your role to the headhunter who hires the most for that profile, from data engineer to head of data.
- no setup fees, pay on hire
- guaranteed replacement
- hire signed in under 26 days
they hire their data and AI teams with muzzo
how it works
you only pay if you hire
01
you describe the role
Using the form above: the role, your company, your sector. The rest is scoped in your first conversation with the Muzzo team.
02
the right headhunters get started
Those who have already hired in your speciality: data engineering, data science or AI.
03
you meet the profiles
Approached and qualified by headhunters who know data. You choose who you meet.
04
you hire, then you pay
Not before. If your new hire leaves within 3 months, we restart the search at no cost.
they hired with muzzo
Muzzo's strength is the diversity of its recruiters: there is always someone listening to our needs.
With Muzzo, I get the reactivity of a marketplace and the quality of a search firm.
let's talk about your role
Antoine and the Muzzo team help you scope your role and choose the right headhunters. Describe your role in the form: we'll call you back to discuss it.
Antoine GigomasCEO and co-founder of Muzzo
one last question?
You set the fee for each role, between 5 and 30%. You only pay it once the person is hired. No fixed fees, no deposit. If you don't hire, you pay nothing. The Muzzo team helps you choose the right amount.
You have a double guarantee. If your new hire leaves within 3 months, we restart the search at no cost. If we don't find a replacement within 4 months, we refund 50% of the fees. On average, 94% of new hires are still in post after 3 months.
Click “get started” and describe your role in two steps. The Muzzo team gets back to you to refine the need. Then the headhunters who hire the most in that field get to work. Launching is free, with no exclusivity.
data and AI headhunters are ready to start
A hire signed in under 26 days. You only pay when you hire.
the reality
one data job title can hide three different jobs
data engineer, data scientist, ML engineer: easily confused
The data engineer builds the data pipelines. The data scientist builds the models. The ML engineer puts them into production. A vague title attracts the wrong profiles: the headhunter helps you frame it from the start.
AI profiles come from very different backgrounds
Research, startups, consulting: good AI engineers don't share the same path. The headhunter looks at what they have shipped to production, not just their degree.
your first data hire shapes the next ones
Your first head of data will choose the tools and hire the team. This role goes to a headhunter who has already hired heads of data, not to a generalist IT recruiter.
the roles
the data and AI profiles our headhunters find for you
From raw data to models in production, each role goes to a headhunter who knows that job.
data engineer
The data engineer collects, cleans and makes data usable. Without them, your data scientists spend their time preparing files.
already hired via muzzo
data scientist
The data scientist builds models to forecast, classify or recommend. We check they have shipped models, not just prototypes.
already hired via muzzo
machine learning engineer and MLOps
The ML engineer puts models into production and monitors them. A profile that sits between data and development, and is rare on the market.
already hired via muzzo
AI engineer and generative AI
The AI engineer brings language models into your product. We have hired them for startups setting up their AI team.
already hired via muzzo
analytics engineer and data analyst
The analytics engineer and the data analyst turn data into dashboards and decisions. They talk to the business as much as to the data team.
already hired via muzzo
AI researcher
The AI researcher designs new models. This role needs a headhunter who can read a research career.
already hired via muzzo
head of data and lead data engineer
The head of data sets the data strategy, chooses the tools and hires the team. The lead data engineer runs the technical side.
already hired via muzzo
the method
one headhunter per data speciality, not one IT recruiter for everything
We have tracked every headhunter since November 2020, on three criteria: how many hires they make, the quality of their profiles, their speed.
you describe the role and your data
You fill in the form, then we talk it through: the data, the tools, the level, the salary. You set the fee, between 5 and 30%.
we choose the headhunters
From more than 2,500 selected headhunters, we keep those who hire the most in data and AI.
you meet profiles who have delivered
The headhunter checks the projects each profile has seen through to the end. You receive few CVs, but profiles that match.
you only pay if you hire
Nothing to pay upfront. No fixed fees, no deposit.
hiring in data and AI
why use a data and AI recruitment agency
A data and AI recruitment agency first helps you name the right role. Data engineer, data scientist, ML engineer, analytics engineer: the titles look alike, the skills don't. A vague brief attracts people who won't do the job you need done.
These profiles are also among the most in demand. France Travail's 2026 labour needs study (BMO) counts them with IT engineers and analysts: 18,330 planned hires in France, 57.4% of them rated hard to fill by employers. People who have already put models into production are even more sought after.
data engineer, data scientist or ML engineer: who to hire first
The data engineer builds the pipelines and makes the data reliable. The data scientist turns it into models that predict or recommend. The ML engineer puts those models into production and monitors them. The analytics engineer and the data analyst turn data into dashboards the business teams actually use.
The first hire is often a data engineer: without clean, accessible data, a data scientist spends their days preparing files. If there is no team yet, a head of data or a lead data engineer will lay the foundations and hire the rest. Theodo hired its lead data engineer with Muzzo.
hiring generative AI profiles
Large language models have created a new job: the AI engineer, who builds these models into a product. They often come from software engineering rather than research. The headhunter checks what they actually shipped: a feature customers use, not just a demo.
For roles closer to research (AI scientist, research engineer), the headhunter knows how to read a PhD, publications and open source contributions. Doctrine hired its data engineers and its machine learning engineer with Muzzo.
GDPR and the EU AI Act: what they change for hiring
A data team handles personal data: GDPR applies from the moment it is collected. Experienced people know how to anonymise, restrict access and document processing. The headhunter checks this when your data is sensitive, in health, finance or legal.
The EU regulation on artificial intelligence, known as the AI Act (Regulation 2024/1689), entered into force on 1 August 2024 and applies in stages. It sets documentation and oversight duties, stricter for high-risk systems. Companies in scope look for people who can build models and make them auditable.
where to hire data and AI profiles in France
Paris is home to a large share of data teams and private AI labs. But Lyon, Toulouse, Grenoble and Nantes also train strong profiles around their engineering schools and universities. In Grenoble, MIAI, the artificial intelligence institute run by Université Grenoble Alpes, holds the state's “AI Cluster” label.
Remote work opens the search to the whole country, but many teams want to meet regularly. We set the city and the on-site rhythm in the brief. You set the fee, between 5 and 30%, and you only pay on hire.
your questions about hiring in data and AI
On average, a Muzzo hire takes 26 days, across all roles, over the last 12 months. For a data engineer, the timing depends mostly on the tools and level you need. The Muzzo team gives you an estimate from your first conversation.
Often the data engineer: without clean, accessible data, a data scientist spends their days preparing it. But it depends on what you already have. The Muzzo team helps you decide in your first conversation.
The data engineer builds the pipelines and makes data reliable and accessible. The data scientist uses that data to build models that predict, classify or recommend. The two roles are found in different networks, and a precise brief keeps the profiles from getting mixed up.
Yes. We have already hired AI engineers, AI scientists and machine learning engineers, including founding AI engineers at startups. The headhunter checks what the person put into production, not just their prototypes.
An IT agency hands your role to recruiters who cover all of IT. Muzzo hands it to the headhunters with the best results in data, chosen from more than 2,500 selected headhunters. For Doctrine, we hired data engineers and a machine learning engineer.