Deep learning for anomaly detection (H/F) en Stage

Description de l'offre

About Worldline

Worldline [Euronext: WLN] is the European leader in the payments and transactional services industry. Worldline delivers new-generation services, enabling its customers to offer smooth and innovative solutions to the end consumer. Key actor for B2B2C industries, with nearly 45 years of experience, Worldline supports and contributes to the success of all businesses and administrative services in a perpetually evolving market. Worldline offers a unique and flexible business model built around a global and growing portfolio, thus enabling end-to-end support. Worldline activities are organized around three axes: Merchant Services, Mobility & e-Transactional Services and Financial Services including equensWorldline. Worldline employs more than 9,400 people worldwide, with estimated pro forma revenue of more than € 1.5 billion on a yearly basis. Worldline is an Atos company. worldline.com

Position Overview
You will join the Research & Development department (R&D). The Worldline R&D invests strongly in new technologies.
We develop prototypes that implement innovative technologies applied to new use-cases. With recent advances and burst in big data, machine learning and robotics techniques, Artificial Intelligence (AI) is opening many new horizons either for research areas or for industry applications.

About Internship
We are seeking a self-motivated and enthusiastic machine learning student to join the R&D worldline team.

Machine learning interns will have the opportunity to explore the application of deep learning algorithms towards anomaly detection problems. In this internship, the sequential information will be extracted automatically to help anomaly detection. Recurrent Neural Network (RNN) is often used for this propose. This work consists on how to use different RNN extensions in parallel being able to deal with multi-sources problem. In this context, you will have the opportunity to work on the latest general purpose GPU technologies available on our home servers and a variety of deep learning frameworks implemented.

Skills acquired at the end of the internship

·  Program with efficient technologies for the encountered case
·  Practical experience with machine learning
·  Progress in AI algorithms and know how to opt for the right strategy and suitable algorithm
·  Get demonstrative and documented results
·  Develop technologies that are not restrained to one use-case
·  Collaborate with researchers and engineers
·  Participate in the proposition of new exploratory fields


Profil

BAC+5, Passionate and motivated by Machine Learning and Computer Science, you are not afraid of working with multiple languages such as Python, C, C++, Java, etc.
You are familiar with various machine learning algorithms and Deep Learning frameworks (Tensorflow, Keras, Pytorch).
You enjoy implementing graphical interfaces and fast algorithms.
You have excellent oral and written communication skills. You feel comfortable working with different profiles.

Why work at Worldline?
Our success comes from strong skills, new ideas, diverse points of view and the energy of all women and men from Worldline. Not only do they represent our Human Capital, they are also key players in our success. We make managing our talents a major asset in the success of our business.
But, at Worldline, we do more than just managing our talents. It is our top priority to involve them, inspire them, and develop them. In line with our guiding principle “Build your career and grow with us”, it is our mission to ensure that their potential can grow and flourish through the numerous development programs and career opportunities we offer.

Your Application
If you wish to apply for this position, please click below to complete our online application form and attach your CV in either Word, rtf or text format.
Atos does not discriminate on the basis of race, religion, colour, sex, age, disability or sexual orientation. All recruitment decisions are based solely on qualifications, skills, knowledge and experience and relevant business requirements.
We are committed to making reasonable adjustments to the applications process for people with disabilities.