Eviden is an Atos Group business with an annual revenue of circa € 5 billion and a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 55,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

Our team is building ATOS CVP (https://atos.net/fr/solutions/bullsequana-edge-fr/atos-computer-vision-platform), a real-time video analytics platform for different verticals (security, retail, …). We use AI technologies to design and develop the product, as well as Big Data software components to manage the related data.

We currently recruit a deep learning engineer with a first experience in computer vision projects to complete our team on artificial intelligence matters.

Key Responsibilities

• Bring AI expertise in the computer vision data management activities (data generation, data selection, data cleaning and preparation)
• Keep up to date with the latest in GenAI, perception, and computer vision research, experiment state of the art models
• Design accurate and performant models for a range of standard Computer Vision tasks (images/videos, generation, object recognition, scene understanding, behavior analysis, …)
• Develop training pipelines for production delivery and apply MLops principles

Required skills

• Hands-on experience in Computer Vision and Machine Learning projects
• Hands-on experience building production models with deep learning framework
• Be able to balance technical debt and productivity both individually and at a team level
• Must be eager and able to learn quickly and to improve
• Excellent communication skills and a team player mentality are necessary
• 1+ years of hands on deep learning experience
• MS in data science or computer science
• Practice of Linux environment.

Desirable skills

• PhD in Computer Vision or AI
• Proven ability to ship quality software products and services
• Strong practice of Unit Testing, Integration Testing, Validation Testing, and Continuous Integration systems.
• Knowledge on containerization using Docker

LI-QM1

Let’s grow together.