Ingénieur Logiciel / Deep Learning & Vision par Ordinateur H/F

Join to apply for the Ingénieur Logiciel / Deep Learning & Vision par Ordinateur H/F role at GROUPE LR TECHNOLOGIES

Job Description

Within our client's teams, specialized in developing intelligent solutions for urban mobility, you will work as a Software Designer on projects related to Deep Learning and Computer Vision . This mission involves developing advanced solutions incorporating object recognition and tracking algorithms.

Responsibilities

• Design, specify, and develop software modules focused on Deep Learning and Computer Vision.
• Integrate technical requests from architects into developed modules.
• Create and execute unit and integration tests.
• Write technical specifications, design, and development documents.
• Prepare user documentation (manuals).
• Collaborate with internal teams for technical exchanges and interface development.
• Participate in ongoing R&D efforts and improve software development processes.

Qualifications

Must hold a Master 2 or an engineering school degree in computer science with at least some notable experience in a similar role.

Technical Skills

• Proficiency in Linux and Windows (network, system commands).
• Advanced expertise in Python and C++.
• Skills in Computer Vision: OpenCV, Pillow.
• Experience in Machine Learning: classification, data augmentation.
• Expertise in Deep Learning: CNN, RCNN, YOLO.
• Knowledge of frameworks: TensorRT, ONNX.
• Understanding of tracking algorithms: Kalman, Mean Shift.
• Version control with Git.

Optional Skills

• Video processing tools: GStreamer, FFMpeg.
• Scripting in shell bash in a Linux environment.

Personal Attributes

Organized, proactive, autonomous, meticulous in documentation, team-oriented, analytical, creative, dynamic, with good interpersonal and written communication skills in French, and proficient in English.

Company & Culture

Join a human-sized company, recognized as a Great Place To Work and ECOVADIS certified for CSR.

Why Join Us?

• 650 employees who chose to join us.
• 94% satisfaction rate among employees.
• Growing rapidly but sustainably, with multiple certifications and labels.