MLOps Engineer in Robotic Vision F/H

Je postule
  • Type de contrat :  CDI

  • Temps de travail :  Temps plein

  • Lieu Saint-Étienne


Join us and take part to the robotics revolution at Siléane!

At Siléane, we develop tailor-made robotic solutions for various industries, while conducting ambitious research towards autonomous vision-guided robotics. Our research enables us to be at the forefront in AI-enabled solutions for automating human-level vision and manipulation tasks in industrial environments. In this context, we are looking for a machine learning operations (MLOps) engineer to accelerate the industrialization of our deep learning pipelines.

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:


  • 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


  • 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

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