MLOps Engineer in Robotic Vision F/H

L'entreprise

Le groupe Siléane, acteur majeur de la robotique adaptative en France, propose des solutions innovantes de robotique associée à la vision et à l’IA pour automatiser les process à hautes exigences technologiques et réglementaires de nombreux secteurs industriels.

Le groupe Siléane intervient auprès de ses clients sur des projets de R&D, de machine spéciale ou d’ensemblier, mais propose également une offre de machines de gammes (Flowpick, Rovaldy, Kamido) ainsi que des prestations de service.

Description du poste

Your mission:

• Work in a growing team of researchers and developers dedicated to shape the future of autonomous robotics
• Contribute to the definition and promotion of our DevOps/MLOps strategy
• Contribute to the implementation of CI/CD pipelines and monitoring tools for the softwares developed in R&D
• Design and implement on-premise or cloud-based solutions for data storage and deep learning in production
• Guide and contribute to the industrialization of novel deep learning pipelines across various projects in collaboration with the business unitsW

We offer:

• Challenging projects in the fields of deep learning and robotic vision
• A multidisciplinary team of passionate and open-minded people driven by innovation
• A stimulating working environment to develop your scientific and programming skills
• A direct access to the latest hardware and technology

Profil recherché

Your profile:

Required:

• Master or engineering degree (Bac+5) in computer science
• 3+ years of experience in the industry as software or research engineer
• Good knowledge of the state of the art of computer vision and hands-on experience with a modern vision library (e.g., OpenCV, Halcon, Matrox)
• Experience in implementing and deploying deep learning pipelines in production, using a state-of-the-art framework (e.g., PyTorch, TensorFlow) on GPU-enabled computers/servers
• Strong knowledge of the DevOps/MLOps lifecycle and tools stack (e.g., Git, Data Version Control, GitLab CI/CD, Docker, Kubernetes, etc.)
• Advanced skills in Python and C++
• Experience with both Windows and Linux
• Good written and oral communication skills in English
• Curious, autonomous and rigorous

Preferred:

• Experience in multi-GPU computing
• Experience in C# and ASP .NET Core web apps
• Experience with cloud-based machine learning platforms (AWS, Azure)

Réf: 6601fd14-1a66-4e16-88d4-d258e810005c