Research engineer in Artificial Intelligence to be part of our Atos team.
Participate in the implementation of a platform to support the management of the complete life-cycle of Machine Learning applications over the computing continuum.
Research about new AI techniques : AutoML, self-learning, online learning, frugal AI, federated learning.
Research about mechanisms to improve the trustworthiness of AI solutions.
Development of Machine Learning models to be used in concrete applications, precision agriculture, predictive maintenance.
Participation in technical tasks within international Research and Innovation projects, having to interact and collaborate with other companies, research centres and universities.
Collaboration in the conception and design of innovative ideas for new Research and Innovation projects.
For this position we need :
Bachelor or Master degree in Computer Engineering, Telecommunications Engineering, Electrical Engineering, Big Data, Artificial Intelligence or other related fields.
Proficiency in English.
Knowledge about data analytics and Machine Learning frameworks like Tensorflow, PyTorch, scikit-learn, Caffe2 or CNTK.
Experience scripting and programming languages such as Python, C / C++ and Golang as well as proven experience working with Linux.
Knowledge in AI platforms (Acumos, Kubeflow or similar) and systems specification using UML. Desirable experience with Golang.
Experience with high-performance computing applications and systems, parallel computing, distributed computing, multithreaded programming.
Experience with Docker and Kubernetes.
Ability to work with software configuration management tools such as Git or GitLab.
Good writing and presentation skills.
Be proactive with the ability to coordinate, plan, prioritize and handle changing priorities.
Competitive remuneration package.
Extensive training programs.
Flexible working schedule.
Long term career opportunities and professional growth in a global company.