Machine Learning Engineer/ MLOps
Assess First
AssessFirst opère depuis 2002. Ils ont débuté en se positionnant sur le segment de l’évaluation comportementale. Aujourd’hui, ils sont le leader du recrutement prédictif basé sur l’analyse du potentiel.
Leurs clients évaluent des centaines de milliers de personnes chaque année avec pour objectif de recruter des collaborateurs incroyablement performants et extraordinairement engagés.Ils sont convaincus que le potentiel d’une personne est bien plus puissant et vecteur de succès qu’un simple CV ou qu’une école. Ce qui les intéresse, c’est de savoir “qui tu es” et ce que tu pourras faire plus que ce que tu as déjà fait.Et ce sont ces valeurs qu’ils transmettent aux entreprises du monde entier ! 🌍 (plus de 3500 dans une quarantaine de pays !)Descriptif du posteYour goal : Put AI at the heart of AssessFirst and supplement our existing knowledge.Your missions : Deploys scientific rigor and machine learning principles to make AssessFirst a learning solution, and develop cutting edge algorithms to predict job-related outcomes.👉 To do this, you will have to:
Your future teamYou will be part of the Science team, composed of Emeric (Head of Science), Konrad (Psychometrician) and Jianqiu (Data Engineer). You will also work extremely closely with the whole product team and the engineering team.
Find out what the team has to say on our !What we would need…What you would need ?
Our recruitment process1. You are in love with the job and the company2. You complete our questionnaires by applying3. Agathe, our Talent Acquisition Manager, will contact you4. 3 interviews max: with Emeric (your future manager), Tales (our current MLE) and finally Simon (CPO) & David our founder!5. Welcome to the team! 👏6. Go on, you need to apply now !🌍 Diversity and inclusion are part of our values and we encourage everyone to apply (even if you don’t meet 100% of the requirements) regardless of their gender, ethnicity, age or academic/career path.
€50000 – 60000 per year
Paris
Sat, 12 Oct 2024 00:29:00 GMT
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