AI Engineer, Vision
Tasks
- Benchmark model performance
- Curate datasets
- Deploy deep learning models
- Diagnose edge case failures
- Evaluate classification models
- Evaluate detection models
- Evaluate segmentation models
- Maintain reproducible ML pipelines
- Monitor model drift
- Package and deploy applications
- Query and transform structured data
- Retrain models for reliability
- Support in field operations
- Train neural networks
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Apache Kafka | Azure | CNN | CUDA | Docker | ELK | Ethernet/IP | FastAPI | Flask | GenICam | GigE Vision | Google Cloud | Grafana | HTTP | InfluxDB | Keras | Kubernetes | Linux | Modbus | MongoDB | Mqtt | NVIDIA Jetson | Node.js | NumPy | ONNX | OPC UA | OpenCV | OpenVINO | Pandas | Profinet | Prometheus | PyTorch | Python | REST | RabbitMQ | Raspberry Pi | React | SQL | Scikit-learn | TensorFlow | TensorRT | Transformers | TypeScript | USB3 Vision | YOLO
Education
Roles
AI | AI Engineer | Computer Vision Engineer | Engineer | Vision Engineer
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