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Machine Learning and Deep Learning: Utilize machine learning frameworks (e.g., TensorFlow, PyTorch) to train and optimize NLP models. Knowledge of NLP libraries and frameworks (e.g., NLTK, SpaCy, Gensim) and deep learning frameworks (e.g., TensorFlow, PyTorch.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Experience working with k-12 science curriculum, instruction, or assessment in an online learning management system, such as Canvas LMS. Educator certification in multiple subject areas.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. We are looking for candidate who can work without any sponsorship #W2 Machine Learning Engineer with 7+ years of experience in designing, building, and maintaining machine learning models and pipelines.
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Experience with Machine Learning/Deep Learning Excellent verbal and written communication skills ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering LOCATION: Austin, TX #LI-SL3 At AMD, your base pay is one part of your total rewards package.
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Deep expertise in data science, machine learning, and statistical modeling techniques applied to marketing, customer service, and supply chain functions. Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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We are looking for an experienced Senior Compiler Optimization Engineer for an exciting role in our Compute Compiler Team. We deliver features and improvements to CUDA and other compute compilers to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars.
$276,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics. At a minimum, you should be able to implement and optimize deep learning algorithms developed by others.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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5+ years combined work experience and/or advanced education in developmental psychology, social science, lifespan development, minor safety and wellbeing policies, behavioral or social science, and preferred experience in content policy, brand safety, tech policy, public policy, social media, and/or Trust & Safety.
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This role requires a deep understanding of natural language processing (NLP), machine learning, and the ability to build intelligent and interactive conversational agents. NLP and Machine Learning: Utilize advanced NLP techniques and machine learning algorithms to improve the functionality and capabilities of LLM-based applications.
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Solid understanding of Large Language Models, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science, and data engineering. Bachelor’s or master’s degree in computer science or related field.
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Experience and understanding of the teaching and learning process and the cognitive science behind it. We promote student success and community development by providing affordable access, through traditional and distance learning modes, to higher education and workforce training, including appropriate applied baccalaureate degrees, in our service area.
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We are seeking a skilled Data Science Engineer who will be responsible for overseeing the maintenance and improvement of current machine learning implementations within our Revenue Cycle line of business.
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science deep learning jobs Title: consultant in Austin, Lawrence, New Jersey
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