Computer Vision Architect (Automotive & Energy)
Tasks
- Define scalable repeatable solution architecture
- Design deployment across global manufacturing plants
- Design for configurable camera and equipment differences
- Develop prototypes and conduct architecture reviews
- Drive MLOps model testing deployment monitoring versioning retraining
- Establish consistency across plant environments
- Integrate computer vision with manufacturing systems
- Lead computer vision platform architecture and development
- Provide technical leadership across solution lifecycle
- Troubleshoot complex technical issues
Perks/Benefits
- Additional vacation days
- Flexible work options
- Health insurance
- Hybrid work
- Internal conferences and meetups
- Referral program
- Remote work
- Sports activities
- Support and mentorship
- Technical and non-technical training
- Work anniversary program
Skills/Tech-stack
AWS | C++ | CUDA | Cloud platform | DeepStream | Docker | Google Cloud | Google Cloud Platform | IP cameras | Industrial Historians | Industrial cameras | IoT | Kubernetes | MES | MLOps | Microsoft Azure | Modbus | Mqtt | NVIDIA GPUs | NVIDIA Jetson | ONNX | ONNX Runtime | OPC UA | OpenCV | PLC | PyTorch | Python | REST APIs | Real Time | Real-time Inference | SCADA | TensorFlow | TensorRT
Education
N/A
Roles
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