AI / ML Engineer - Image Analytics
Tasks
- Apply transfer learning and fine-tuning
- Build React dashboards for visualization
- Build and deploy models on Azure Machine Learning
- Build image video and LiDAR data pipelines
- Containerize applications with Docker
- Design train evaluate and deploy deep learning models
- Develop Python microservices for model inference
- Develop REST APIs for model integration
- Develop computer vision models
- Develop scalable data pipelines on Azure
- Implement CI/CD workflows
- Implement data preprocessing and augmentation
- Maintain reproducible experiments with MLflow
- Optimize models with quantization and pruning
- Process LiDAR point cloud data
Perks/Benefits
- Disability insurance
- Life insurance
- Medical/Dental/Vision insurance
- Paid parental leave
- Paid sick leave
- Paid time off
- Paid vacation
- Retirement savings
Skills/Tech-stack
3D Object Detection | ACI | AKS | Anomaly Detection | Azure Cognitive | Azure Cognitive Services | Azure Data | Azure Data Lake | Azure Databricks | Azure DevOps | Azure Functions | Azure Machine Learning | Azure Storage | CI/CD | CNNs | Cloud processing | Cognitive Services | Computer Vision | Data Lake | Deep learning | Docker | Event Hubs | Fine Tuning | Image Segmentation | Image classification | Jetson | Lidar | MLflow | Machine Learning | Model Pruning | Model Quantization | NumPy | OCR | ONNX | ONNX Runtime | Object Detection | Open3D | OpenCV | PDAL | Pandas | Point Cloud | Point Cloud Processing | PyTorch | Python | Pytorch3D | REST APIs | React | Scene reconstruction | Scikit-learn | TensorFlow | TensorRT | Transfer Learning | Transformers | Video Processing
Education
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