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Open nowPosted 632 days ago

Stage Machine Learning

Workable (global search)19,973 open roles

Where
Paris, Île-de-France, France
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Your applicationOpen nowStage Machine LearningWorkable (global search) · Paris, Île-de-France, France

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 632 days ago

Workable (global search) median: 2 days open

The posting

Descriptif du poste

Intégré(e) à notre Lab Data composé d’une vingtaine d’experts en Machine Learning, tes activités s’orienteront autour de plusieurs grands axes :

  • Réaliser des missions avec de réelles données clients, où tu pourras très vite gagner en responsabilité
  • Effectuer un travail de R&D autour de l’état de l’art technologique et scientifique des méthodes de machine learning, dans le but de perfectionner les outils utilisés en interne
  • Participer aux data meeting hebdomadaires, au cours desquels chacun partage ses dernières avancées et découvertes
  • Collaborer avec les autres métiers (IT, Design, Business…), pour imaginer des solutions complètes et innovantes répondant aux besoins clients
  • Travailler au plus près des clients, en les conseillant directement et en concevant le produit qui saura répondre à leurs attentes

Requirements

Venant d'une formation en Data Science, Computer Science, Mathématiques, ou d’un parcours au cours duquel tu as acquis les compétences recherchées, tu justifies de bonnes connaissances des algorithmes de Machine Learning. Tu dois également être curieux et effectuer une veille autour des dernières avancées technologiques sur le sujet. Projets personnels et/ou participations à des compétitions Kaggle sauront attester de cet intérêt.

De solides connaissances en Python et une bonne maîtrise de ses librairies de Machine Learning (pandas, scikit-learn, etc.) sont obligatoires. La maîtrise d’un ou plusieurs frameworks de Deep Learning (Keras, Pytorch…) est un réel plus.

Compétences obligatoires:

  • Python
  • Machine Learning / Deep Learning

Compétences appréciées:

  • Pédagogie, vulgarisation de concepts techniques
  • Esprit de synthèse
  • Écosystème Big Data (Hadoop, Spark)
  • Programmation logiciel et web

Format: Stage de 4 à 6 mois de préférence en fin d’études

Benefits

🍴Une prime « paniers repas » versée mensuellement à hauteur de 98€ net

🚲 Au choix: La prise en charge intégrale de ton pass Navigo, ou une prime mobilité durable de 500€/an versée mensuellement 🤸 Des cours de sport en visio chaque semaine gratuits pour tous 🏠 Du télétravail flexible pour tous 📘 Du partage de connaissance en interne : chaque vendredi après midi, « une séance de présentation » est organisée par un collaborateur sur un sujet qu’il souhaite partager à tous 💻 Au choix: un ordinateur Mac, Linux, ou Windows selon tes préférences et compétences 🗺️ Des locaux situés dans le centre de Paris (10e), avec une super terrasse pour profiter de l’été 🍺 Des apéros, séminaires, déjeuners en commun et autres réjouissances plusieurs fois par an

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    The review screen in CV Rocket: how each CV was read, round by round.

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3×

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  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

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The numbers game

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