WHAT ARE YOU LOOKING FOR
- This page recognizes the work and effort of the most outstanding professionals in the city. We give visibility to qualified experts who offer their services, both online and in person. If you want to remove a file from this directory, contact us and in 72 hours we will remove it.
1-2 = Improvable
3-4 = Pass
4-5 = Excellent
1. The AI Institute
Address: 9 Rue Dareau, 75014 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Telephone: +33 6 11 10 01 38
Guy: Training centre
Web page: https://www.theaiinstitute.ai/
There are no offers available.
Near The AI Institute:
- a 15 meters away villa construction: Vilogia Paris
- a 22 meters away peruvian restaurants: LA ESCONDIDA PARIS 14
- a 23 meters away dental esthetics courses: Dr Lachaux Jean-Eric
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2. FMJConsulting : IT Profesional Services - Continous integration - Cloud Virtualisation - Machine Learning, Big Data
Address: 38 Av. Secrétan, 75019 Paris, France
Schedule: Closed ⋅ Opens 7AM Mon
Telephone: +33 6 51 31 43 67
Guy: Computer consultant
Web page: http://www.fmjconsulting.fr/
There are no offers available.
Near FMJConsulting : IT Profesional Services - Continous integration - Cloud Virtualisation - Machine Learning, Big Data:
- a 19 meters away child psychologists: Sophie Kerebel Neuropsychologue
- a 26 meters away stores to buy narciso rodriguez: Marionnaud-Parfumerie
- a 44 meters away climbing walls: Climbing District
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3. 24pm Academy
Address: 17 Rue Etex, 75018 Paris, France
Telephone: +33 6 62 55 00 10
Guy: Training centre
Web page: http://24pm.com/
There are no offers available.
Near 24pm Academy:
- a 33 meters away dressmakers: Fil D Or
- a 35 meters away photodepilation courses: Microneedling
- a 36 meters away fumigate: Mondial Hygiène
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4. Datascientest - Formation Data Science | Data Scientist, Data Analyst, Data Engineer
Address: Tour Initiale, 1 Terr. Bellini, 92800 Puteaux, France
Schedule: Closed ⋅ Opens 9AM Mon
Telephone: +33 9 80 80 79 49
Guy: Computer training school
Web page: https://datascientest.com/
There are no offers available.
Near Datascientest - Formation Data Science | Data Scientist, Data Analyst, Data Engineer:
- a 0 meters away tumor index analysis: Qlik France
- a 74 meters away mechanic workshop: Lamborghini Paris
- a 96 meters away articulate specialists: Allianz Global Corporate & Specialty SE
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5. Sorbonne Center for Artificial Intelligence - SCAI
Address: 4 Pl. Jussieu, 75005 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Telephone: +33 1 44 27 76 05
Guy: University
Web page: http://scai.sorbonne-universite.fr/
There are no offers available.
Near Sorbonne Center for Artificial Intelligence - SCAI:
- a 0 meters away mma classes: Rnk Paris
- a 0 meters away police self-defense classes: Close Combat Urbain
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6. Le Wagon
Address: 16 Vla Gaudelet, 75011 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Guy: Computer training school
Web page: https://www.lewagon.com/fr/paris
Review: Their website mentions machine learning
There are no offers available.
Near Le Wagon:
- a 0 meters away landscapers: aKagreen
- a 28 meters away neurologists: Mettling Pascale
- a 39 meters away pregnancy courses: Les Comptoirs Du Soin - République : Dermo-Cosmétique / Minceur / Anti-Âge
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7. OWKIN France
Address: 12 Rue Martel, 75010 Paris, France
Schedule: Closed ⋅ Opens 9AM Mon
Guy: Biotechnology company
Web page: https://owkin.com/
There are no offers available.
Near OWKIN France:
- a 4 meters away Social media management specialists: Ruche & Pollen
- a 4 meters away e commerce specialists: Merci E-Commerce
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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
