Computer Vision Engineer
SGD 120K-198K (estimate) Mid-level Full Time
Tasks
- Build data feedback loops
- Deploy machine learning models
- Design machine learning models
- Drive model lifecycle data review training evaluation selection release
- Ingest operational data and edge cases
- Integrate computer vision capabilities into production software
- Maintain computer vision pipelines
- Prototype and benchmark computer vision predictive features
- Translate research concepts into production code
Perks/Benefits
- Allowance benefits
- Certification training
- Company Transport Provided
- Dental benefits
- Employee scholarship program
- Health benefits
- Medical benefits
- On-the-job training
- Overtime benefits
Skills/Tech-stack
3D Point Clouds | Agile | Anomaly Detection | CAD | CUDA | Computer Vision | DVC | Design Patterns | Docker | Feature Matching | Gaussian Splatting | Instance Segmentation | Integration Testing | Kanban | MLflow | Machine Learning | Meshes | Model Serving | Model versioning | ONNX Runtime | OOP | Object Detection | Open3D | OpenVINO | Point clouds | PyTorch | Python | Pytorch3D | Semantic Segmentation | Series analysis | TensorRT | Time Series | Time Series Analysis | Unit Testing | Weights and Biases
Education
Roles
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