Machine Learning Engineer - IV (Computer Vision)
Tasks
- Architect end-to-end ML pipelines
- Benchmark biometric model fairness
- Build and train face recognition models
- Conduct code and design reviews
- Curate balanced training datasets
- Deploy ML models on AWS
- Generate synthetic training data
- Lead computer vision system design
- Mentor ML engineers
- Mitigate algorithmic bias
- Optimize models for low-latency inference
- Scale training on multi GPU clusters
Perks/Benefits
- N/A
Skills/Tech-stack
ANN search | Airflow | Approximate Nearest Neighbor | CoreML | Data Ingestion | Diffusion Models | EC2 | EKS | Faiss | GANs | JAX | Knowledge Distillation | Milvus | Model Deployment | Multi-GPU | Nearest neighbor | ONNX | OpenCV | Pillow | PyTorch | Python | Quantization | SageMaker | TFLite | TensorFlow | TensorFlow Lite | TensorRT | Vector Databases
Education
N/A
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