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Familiarity with AI (Artificial Intelligence) subsets such as Machine Learning, Large Language Models (LLM) and Natural Language Processing (NLP). Our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club.
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We are responsible for the end-to-end digital and physical Guest experience for all technology and digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney.
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Understanding of modern SRE best practices. Strong demonstrable experience using Dart in building Flu t t e r consumer-facing applications. Bachelor's degree in computer science , Engineering, Information Systems, or related field/work experience.
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Build well-designed, well-engineered, stable, performant mobile applications using Flu t t e r and Swift. Experience with Typescript. Strong demonstrable experience using Swift in building iOS consumer-facing applications using both UIKit and SwiftUI.
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Experience working in an Agile Team consisting of product managers, project managers, design, QA, and tech. Analyze user stories, provide realistic estimations, and participate in sprint planning, scrums, demos, and retrospectives.
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Contribute to the entire development cycle, including technical design, development, testing, experimentation, analysis, and product launch. This role is a part of the Retail & Restaurant Commerce Technology organization within Disney Experiences Technology & Digital.
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We are looking for an experienced Machine Learning Engineer to develop our next-generation intelligent translation and translation-related service engine, using machine learning and natural language processing techniques.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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Keywords: LLM, Large Language Model, Machine Learning, Deep Learning, ML, Neural Networks, NLP, Natural Language Processing, Applied Scientist, Open-Source, OSS, Quantization, Sparsity, Pruning, Neural Architecture Search, Hardware Acceleration, Training, Inference, Tensorflow, PyTorch, JAX.
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In this role, you will leverage your expertise in Python, Natural Language Processing (NLP) techniques, algorithms and statistics, as well as your familiarity with US Department of Defense mission needs, to deploy, optimize, and evaluate innovative machine learning and algorithmic solutions in client environments.
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We are seeking a Senior Machine Learning Engineer who is an expert in Optical Character Recognition (OCR), Natural Language Processing (NLP), Large Language Models (LLMs), and other deep learning models.
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As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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This may also include patent work related to image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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Machine Learning Techniques : In-depth understanding of various machine learning techniques, including supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
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This role involves preparing and prosecuting patents related to advanced technologies such as image processing, databases, access management, natural language processing/understanding (NLP/NLU), and autonomous machines/vehicles.
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machine natural language processing next generation jobs Title: engineer Company: Quantum Technologies Usa
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