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Hands on experience in implementing end-to-end machine learning projects. Data Science & Machine Learning Engineer will be responsible for developing state-of-the-art data processing pipeline based on machine learning models and leveraging data science algorithms to parse substantial data and logs in timely manner to automatically tackle the issues or provide recommendations for the next step of solving problem.
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Prototypes and do proof of concepts (PoC) in one or all the following areas: · LLM, NLP, DL (Deep Learning), Client (Machine Learning), object detection/classification, tracking, etc.
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SAIC takes on grand scientific and engineering challenges in machine intelligence and actively contributes to the international research community through scientific publications and presentations in major conferences and journals in research areas of Computer Vision, HCI, Contextual/multi-modal modeling, NLP, Speech Recognition, Dialogue, and Machine and Deep Learning.
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As a member of our Mixed-Signal high-speed I/O SerDes group, you'll be working on NVDIA's latest ground breaking technology that enables and accelerates gaming, artificial intelligence, deep learning, and autonomous driving.
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You’re experienced with Data Science and Machine Learning (aka A.I.), including Regression, Classification, Ensemble Methods, Deep Learning, Reinforcement Learning, GenAI, etc.
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Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods.
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You and your team will help advance NVIDIA's leadership in applying deep learning to tackle real-world problem in Autonomous Vehicle (AV) domain and other such embedded opportunities. and NVIDIA Deep Learning Accelerator (NVDLA) for Embedded and further build NVIDIA Inferencing story.
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Experience with machine learning and geophysics algorithms or applications such as: deep learning, computer vision, optimization, denoising, signal processing or time-series analysis.
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Nearest Major Market: San Francisco Nearest Secondary Market: Oakland Job Segment: Cloud, Pre-Sales, Engineer, Technology, Sales, Engineering, Strategy. Specialists will develop deep sophistication with the technology behind the Spot product portfolio, and they will use that knowledge to source, close, and ramp software deals in NetApp’s Enterprise segment.
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Coordinate equity-related programming and events, including workshops, seminars, and speaker series focused on cultural humility, cultural responsiveness, social-emotional learning, cultural capital and strengths-based learning, collaborate on creating equitable online learning resources and workshops, and sharing liberatory frameworks for teaching as well as relational pedagogies inside and beyond the classroom.
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Hands-on experience on design, and optimizing LLM, natural language processing (NLP) systems, frameworks, and tools. Have good experience configuring Microservices using Docker, Kubernetes on Azure Data Bricks.
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Hands-on design contributions starting from concept, architecture, and topology to transistor-level feasibility studies and KPI trade-off analysis to actual design, simulations, and extractions.
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Expertise in deep learning frameworks and tensor libraries like PyTorch, Tensorflow, JAX/FLAX. Finally, you will assist in and guide the development of containerized pipeline orchestration infrastructure, including developing and distributing stable base container images, providing advanced profiling and observability, and updating internally maintained versions of deep learning frameworks and their companion libraries like Tensorflow, PyTorch, DeepSpeed, GNNs, Flash Attention.
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What you will be doing:Design, implement and maintain highly-optimized communication runtimes for Deep Learning frameworks (e.g. NCCL for TensorFlow/Pytorch) and HPC programming interfaces (e.g. UCX for MPI/OpenSHMEM) on GPU clusters.
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Hands-on experience designing and deploying security controls across all security domains, such as access management, data protection, vulnerability management, incident response and management, application security, network security, preventive, detective, and offensive security solutions.
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deep learning hands on sales jobs Company: Apple in Mountain View, CA
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