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Company
Faurecia Automotive HoldingsPlace(s)
ParisData Scientist (H/F), Paris
Permanent
IT, telecommunications, computer science
Offer archived at 12/11/2020
Faurecia Automotive Holdings
"Technical Perfection and automotive passion" is what defines Faurecia. We design, engineer and provide the best in technology, systems and services for automobile makers in every major market on all five continents. If you share our ambition for technical perfection and our passion for all things automotive, Faurecia has a career for you.
"Faurecia, a driving force…for your professional growth."
Your missions
- Be involved in projects ranging from automated quality inspection, to manufacturing process optimization to intelligent systems development integrated in our products
- Deliver production ready software, so proficiency in at least one programming language is expected.
- She/he will have a solid track record on applied machine learning including deep learning and reinforcement learning and will have the opportunity to learn new techniques and technologies.
Your profile
- Will ideally have a PhD in a quantitative field and/or a minimum of 4 years of experience in machine learning
- Excellent understanding of traditional machine learning techniques and algorithms, such as k-NN, SVM, Random Forests etc.
- Understanding of deep learning techniques
- Understanding and ideally experience with Reinforcement Learning methods
- Experience using ML, DL frameworks (such as : Scikit-learn, XGBoost, TensorFlow, Keras, MXNet, etc.)
- Proficiency in at least one programming language (preferably python)
- Experience with SQL and NoSQL databases
- Excellent verbal and written skills in English
Optional skills would be appreciated:
- Experience in signal and image processing
- Experience in forecasting and time series modeling
- Experience with computer vision libraries like OpenCV
- Experience using cloud platforms
- Experience with versioning control systems (git)
- Interested in IoT and hardware adapted to ML tasks
Apply
Offer archived at 12/11/2020
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