Manager, ML CV Ops Engineer
Tasks
- Automate data ingestion preprocessing training evaluation inference
- Build and maintain ML pipelines for computer vision
- Convert and optimize models with ONNX TensorRT and OpenVINO
- Deploy and serve computer vision models
- Deploy models to edge devices
- Implement quantization and pruning
- Integrate ML models into CI/CD pipelines
- Integrate metrics and dashboards
- Manage remote updates and logs
- Optimize models for performance and edge deployment
- Orchestrate inference with Kubernetes
- Package models with Docker
- Set up model monitoring for drift latency and performance
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | ArgoCD | Azure | CI/CD | Computer Vision | Coral | DVC | Docker | Edge AI | GCP | GitLab CI | Grafana | Inference Server | Jenkins | Kubeflow | Kubernetes | MLflow | Machine Learning | NVIDIA Jetson | ONNX | OpenCV | OpenVINO | Prometheus | Pruning | PyTorch | Python | Quantization | Raspberry Pi | TensorFlow | TensorFlow Serving | TensorRT | Torchserve | Triton Inference | Triton Inference Server
Education
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