Machine Learning Lead Engineer
Tasks
- Build end-to-end ML pipelines
- Build training workflow and evaluation frameworks
- Coordinate with GPU infrastructure team
- Deploy models to production environments
- Design machine learning models
- Develop optimize machine learning models
- Implement monitoring drift detection and model lifecycle management
- Lead technical guidance mentorship and code reviews
- Optimize inference performance
- Set up data training deployment workflows
Perks/Benefits
- N/A
Skills/Tech-stack
CUDA | Computer Vision | Distributed Training | Drift Detection | Model Quantization | Monitoring | ONNX | Performance Tuning | PyTorch | Python | Real Time | Real-time Inference | TensorFlow | TensorRT
Education
N/A
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