MLOps Engineer in Robotic Vision F/H
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Type de contrat : CDI
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Temps de travail : Temps plein
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Lieu Saint-Étienne
L'entreprise
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:
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
Le poste n'est plus à pourvoir.