Machine Learning Engineer
Core
Design, train, and deploy computer vision AI models for object detection, classification, segmentation, and tracking to automate supply room monitoring and inventory management in healthcare, manufacturing, and retail.
Role type
Senior Machine Learning Engineer (Computer Vision)
Builds
Production-ready computer vision models and data pipelines for real-time inventory tracking systems
Domain
Healthcare supply chain, manufacturing, and retail using computer vision and AI
Deliverable
production ML models
Required skills
Python, PyTorch, CNN architectures, transformer architectures, OpenCV, model optimization (ONNX, TensorRT, quantization), data pipeline management, MLOps, Docker, Linux, cloud training (AWS/Azure)
Preferred skills
vision-language models (CLIP, LLaVA), multi-object tracking, few-shot learning, synthetic data generation, Kubernetes, Triton Inference Server
Technologies
PyTorch, TensorFlow, OpenCV, ONNX, TensorRT, MLflow, Weights & Biases, Kubernetes, Docker, AWS, Azure
Responsibilities
Design and fine-tune models for object detection and anomaly detection; optimize models for edge hardware latency and accuracy; build end-to-end data pipelines including curation and augmentation; deploy and monitor models in production; collaborate with solutions engineers to translate customer requirements into model specs; evaluate model performance using quantitative metrics.
Seniority
Mid-Senior, hands-on IC
