Principal Data Scientist (Computer Vision)- 8+ years
Tasks
- Add telemetry for observability and reliability
- Architect multimodal machine learning systems
- Define AI ML technical vision
- Deploy large scale ML systems in production
- Design ML data foundations for annotation and storage
- Develop high-performance inference systems
- Implement evaluation frameworks with A B testing and offline online evals
- Lead diffusion models and vision transformer research integration
- Mentor data science and ML engineering teams
- Optimize accuracy latency with quantization pruning and TensorRT
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS Bedrock | Agent systems | Airflow | Amazon SageMaker | B testing | C++ | Computer Vision | Diffusion Models | Distributed Computing | Flink | GPU Acceleration | Generative AI | Image Segmentation | Inference Server | Java | Kafka | Kubernetes | Language Models | Large Language Models | Mask R-CNN | Multi-Agent | Multi-Agent Systems | Multithreading | Nvidia DeepStream | Object Detection | Pruning | PyTorch | Python | Quantization | R-CNN | Spark | Telemetry | TensorFlow | TensorRT | Triton Inference | Triton Inference Server | Video Understanding | Vision Transformers | YOLO
Education
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