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Build and deploy AI/ML models for vision, audio, and language tasks using PyTorch/TensorFlow and cloud MLOps tools.
Patrols an outdoor shopping center on foot and by vehicle to ensure safety, assist stores with disruptive patrons, and maintain a secure environment.
Build and ship computer-vision models: train, evaluate, wrap in services, and demo via simple web UIs. Core stack: Python, PyTorch, OpenCV, FastAPI/Flask, Docker.
Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we…
Build and deploy AI models for edge devices: port vision/speech models to NPU-enabled SoCs, extend AI tooling for hardware-aware development, and create reference designs for smart-home and surveillance use cases.
Build and deploy large-scale AI systems and autonomous agents using ML, NLP, and multi-agent orchestration at enterprise scale for Walmart’s global operations.
Principal Data Scientist builds and deploys large-scale AI systems, autonomous agents, and ML pipelines at Walmart, using PyTorch, LangChain, and multi-cloud platforms.
Aechelon Technology, Inc. is a leading producer of 3D simulator content, including Geospecific visual/sensor databases and realistic 3D models. We seek people who share our passion for real-time computer graphics and…
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Build and deploy generative AI models (LLMs, diffusion, transformers) and agentic AI systems using Python, TensorFlow/PyTorch, and cloud platforms.
Build and deploy computer-vision models for early detection of eye diseases using TensorFlow/PyTorch on AWS, focusing on segmentation, detection, and explainable AI for global healthcare impact.
Principal Data Scientist at Walmart leading end-to-end AI system design, autonomous agent development, and production ML deployments using PyTorch, LangChain, and multi-cloud platforms.
Develops and optimizes 2D traffic sign detection models for autonomous driving using PyTorch, TensorRT, and ONNX, from data curation to edge deployment.
Build and deploy computer-vision AI models for Philips’ Azurion Eye clinical platform, using CNN architectures and MLOps pipelines on AWS and Kubernetes.
Build and deploy computer-vision models for an AI-enabled medical imaging platform, using PyTorch/TensorFlow and MLOps tools to track, optimize, and monitor models in real time.
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