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1. The AI Institute
Direction: 9 Rue Dareau, 75014 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Telephone: +33 6 11 10 01 38
Type: Training centre
Web page: https://www.theaiinstitute.ai/
There are no offers available.
- a 15 meters villa construction: Vilogia Paris
- a 22 meters peruvian restaurants: LA ESCONDIDA PARIS 14
- a 23 meters dental esthetics courses: Dr Lachaux Jean-Eric
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2. FMJConsulting : IT Profesional Services - Continous integration - Cloud Virtualisation - Machine Learning, Big Data
Direction: 38 Av. Secrétan, 75019 Paris, France
Schedule: Closed ⋅ Opens 7AM Mon
Telephone: +33 6 51 31 43 67
Type: Computer consultant
Web page: http://www.fmjconsulting.fr/
There are no offers available.
- a 19 meters child psychologists: Sophie Kerebel Neuropsychologue
- a 26 meters stores to buy narciso rodriguez: Marionnaud-Parfumerie
- a 44 meters climbing walls: Climbing District
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3. 24pm Academy
Direction: 17 Rue Etex, 75018 Paris, France
Telephone: +33 6 62 55 00 10
Type: Training centre
Web page: http://24pm.com/
There are no offers available.
- a 33 meters dressmakers: Fil D Or
- a 35 meters photodepilation courses: Microneedling
- a 35 meters pascal specialists: Docteur Pascal DIDI
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4. Datascientest - Formation Data Science | Data Scientist, Data Analyst, Data Engineer
Direction: Tour Initiale, 1 Terr. Bellini, 92800 Puteaux, France
Schedule: Closed ⋅ Opens 9AM Mon
Telephone: +33 9 80 80 79 49
Type: Computer training school
Web page: https://datascientest.com/
There are no offers available.
- a 0 meters tumor index analysis: Qlik France
- a 122 meters reforms offices: EY Paris
- a 130 meters Video post editing specialists: The Voice Experts
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5. Sorbonne Center for Artificial Intelligence - SCAI
Direction: 4 Pl. Jussieu, 75005 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Telephone: +33 1 44 27 76 05
Type: University
Web page: http://scai.sorbonne-universite.fr/
There are no offers available.
- a 0 meters mma classes: Rnk Paris
- a 0 meters police self-defense classes: Close Combat Urbain
- a 16 meters fencing lessons: salle d'escrime de l'UPMC (5e)
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6. Le Wagon
Direction: 16 Vla Gaudelet, 75011 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Type: Computer training school
Web page: https://www.lewagon.com/fr/paris
Review: Their website mentions machine learning
There are no offers available.
- a 0 meters landscapers: aKagreen
- a 28 meters neurologists: Mettling Pascale
- a 39 meters pregnancy courses: Les Comptoirs Du Soin - République : Dermo-Cosmétique / Minceur / Anti-Âge
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7. OWKIN France
Direction: 12 Rue Martel, 75010 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Type: Biotechnology company
Web page: https://owkin.com/
There are no offers available.
- a 4 meters Social media management specialists: Ruche & Pollen
- a 4 meters e commerce specialists: Merci E-Commerce
- a 6 meters chilean restaurants: La Cevicheria - Martel
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freelancers machine learning specialists paris
Raphaëlle Delpont
Skills
- Machine Learning
- Optimization
- Data Science
- Python
- R
- SQL
- Physics
- Statistics
- Python (Programming Language)
- Position: Machine Learning Engineer, Founding Team
- Current company: Crossing Minds
- Languages: English · French · Spanish
Experience
-
Machine Learning Engineer, Founding Team
Crossing Minds
10/2020
San Francisco Bay Area
-
Data Scientist Intern - MIT Sloan Capstone team member
Rapid7
2/2020
-
Research Assistant
MIT Sloan School of Management
10/2019
Cambridge, United States
-
MIT Analytics Lab Team Member
Anheuser-Busch InBev
10/2019
Cambridge, Massachusetts, United States
-
Vice President
Telecom Etude
5/2018
Région de Paris, France
Training
-
Massachusetts Institute of Technology
Master's degree
2019 -
Télécom Paris
2017 -
Lycée Sainte-Geneviève
2015 -
Lycée Fénelon Sainte Marie
Baccalauréat
2012
Diego Gomez
Skills
- Programming
- Machine Learning
- Algorithms
- Reinforcement Learning
- Deep Learning
- Python
- Artificial Intelligence
- Java
- Artificial Neural Networks
- English
- Leadership
- Algorithm Design
- Software Development
- Project Management
- Public Speaking
- Networking
- Computer Hardware
- Computer Science
- HTML
- Software Engineering
- Position: Software Engineer
- Current company: Google
- Languages: English · French · Spanish
‣ Machine Learning software engineer interested in research and applications
‣ Broad experience training and deploying state of the art ML classifiers
‣ Developing scalable backend systems to support ML algorithms
‣ C++ readability expert reviewer for Google
‣ Given multiple tech talks at work (e.g. Introduction TPUs, Image Classification @ YouTube)
‣ Multiple-times intern host
Side projects:
‣ Writing articles in my spare time (https://medium.com/@diegoalejogm0)
‣ Participating in Kaggle competitions
Experience
-
Software Engineer
Google
7/2018
Paris, Île-de-France, France
-
Software Engineer
YouTube
7/2018
Paris, Île-de-France, France
-
Research Assistant
Universidad de los Andes - Colombia
8/2013
Bogotá D.C. Area, Colombia
-
Software Engineering Intern
Google
2/2017
Mountain View, California
Training
-
Universidad de Los Andes
Cum Laude (Honors) Bachelor’s Degree
2012 -
Udacity
Nanodegree
2017 -
Udacity
Nanodegree
2016 -
UCL
Bachelor’s Degree
2016
- Position: Machine Learning Engineer
- Current company: Contentsquare
- Languages: Anglais · Arabe · Espagnol · Français · Hébreu
4+ years of experience using machine learning/deep learning techniques and industrializing pipelines to solve challenging real-world business problems.
Led the Recommendation effort @Dailymotion : Dual role to bridge the gap between Product needs and Technical solutions.
Joined Contentsquare adventure !
Experience
-
Machine Learning Engineer
Contentsquare
8/2021
Ville de Paris, Île-de-France, France
-
Sessional Lecturer/Teaching Assistant
Paris-Dauphine
1/2021
-
Senior Machine Learning Engineer
Dailymotion
4/2018
Ville de Paris, Île-de-France, France
-
Data Scientist Intern
TF1 le Groupe
1/2017
Région de Paris, France
-
Data Science Intern
ViaDialog - Customer Interaction Management
7/2016
Région de Paris, France
-
Research Internship in Fitting Mixture distributions
Technion - Israel Institute of Technology
4/2015
SEECenter, in the Faculty of Industrial Engineering and Management
-
Worker internship
Carrefour
9/2014
Région de Paris, France
-
Financial analyst - Sales trader at GFI Securities Limited
GFI Group
7/2014
Région de Paris, France
-
Finance controller (Accounting department) - Assistant trader (Trading desk)
Safra National Bank of New York
6/2013
Région de New York City, États-Unis
Training
-
École Normale Supérieure Paris-Saclay
MSc in Machine Learning and Computer Vision
2017 -
École des Ponts ParisTech
Diplôme d'ingénieur
2014 -
Université Paris Dauphine - PSL
Bachelor of Applied Science (B.A.Sc.)
2011
Johan Gras
Skills
- Développement de logiciel
- Apprentissage automatique
- C++
- Java
- SQL
- Linux
- C
- JavaScript
- Python
- Machine learning
- Intelligence artificielle
- Neural networks
- Analyse de données
- Analyses Big Data
- Web application
- Python (Programming Language)
- Reinforcement Learning
- TensorFlow
- Position: Machine Learning Engineer
- Current company: G-Research
I work in the ML group at Arm in Cambridge as an open source contributor to Google's TensorFlow library. I have a Master in AI from ENSEA (a renowned French grande école) and a bachelor in CS from the University of Paris-Saclay (13th in Shanghai's ranking).
Previously, I interned as a deep learning research engineer at Thales and worked on my Master's thesis on model-based reinforcement learning to solve Jigsaw puzzles.
Skills:
• Machine Learning Expertise: Computer Vision, Reinforcement Learning, Model Inference Optimization
• Machine Learning: TensorFlow, PyTorch, Scikit-Learn, FastAI
• Programming: Python, C/C++, Java, SQL, Unit Testing, Microservice
• Data Analysis: Numpy, Pandas, Jupyter Notebook, Matplotlib, Seaborn
• DevOps / MLOps: Git, Unix, Docker, Jenkins, AWS, Gcloud
You can also take a look at my portfolio: https://johan-gras.github.io/
Or at my code: https://github.com/johan-gras/
Experience
-
Machine Learning Engineer
G-Research
11/2021
London, England, United Kingdom
-
Machine Learning Engineer
Arm
11/2020
Cambridge, England, United Kingdom
-
Research Engineer in Deep Reinforcement Learning
Thales
4/2019
Montreal, Quebec, Canada
-
Software Engineer
Thales
7/2018
Elancourt, France
Training
-
Université Paris-Saclay
Bachelor
2014 -
Ecole nationale supérieure de l'Electronique et de ses Applications
Master of Science
2017
