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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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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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Knowledge and experience developing and applying algorithms in one or more of the following machine learning areas/tasks: deep learning, unsupervised feature learning, zero- or few-shot learning, active learning, transformer-based language modeling, multimodal learning, ensemble methods.
$245,544 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Overview Are you a a data expert with broad understanding and experience in solving business problems by integrating statistical analysis, machine learning/artificial intelligence, deep learning, Natural Language Processing (NLP) and Large Language Models (LLMs.
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In this role, the Learning & Talent Specialist will design, implement, and evaluate professional and organization development programs that strengthen individual and organizational capabilities to execute our strategic business objectives.
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Join our team now at Siemens Healthineers as a Sr. Deep Learning Scientist – Medical Image Analysis Location: Dallas, TX As a Sr. Deep Learning Scientist, you will be part of the Digital Technology and Innovation Center, the central hub for R&D in artificial intelligence and digital innovation of Siemens Healthineers.
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The ideal candidate will have a deep understanding of the Azure Databricks platform, Big Data technologies, and the broader Azure ecosystem. Integrate Azure Databricks with other Azure services such as Azure Data Lake, Azure Synapse Analytics, and Azure Machine Learning.
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Through our commitment to rigorous academics, social-emotional learning, deep family and community engagement, and health and wellness, we create lifelong learners who are equipped to fulfill their vision of success in and out of the classroom.
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Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, mySQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites.
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We are looking to add an experienced Machine Learning Engineer to our esteemed team who can develop cutting edge Deep Learning technologies in the domains of Computer Vision, Synthetic Aperture Radar (SAR), and Geospatial Exploitation.
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The Learning & Development Manager is a key position to the continuous success of the Lids organization. Manage and mentor Learning and Development Specialist, providing guidance and support to ensure successful training program execution and alignment with organizational goals.
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Recognizes the companies of ADUSA as our customers and actively looks for opportunities to improve service and performance through enhanced use of LMS. Has a deep knowledge of the business needs and software applications to provide value-added solutions and facilitate the Learning Administration team’s strategic and functional activities by developing project initiative proposals, organizing project teams, reviewing team performance to achieve project deliverables and milestones.
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Experience working on digital signal processing, audio deep learning, or multi-modal models that involve audio is a plus. Research, design and implement novel methods for efficient deep learning (e.g., quantization, pruning, NAS, knowledge distillation) with a focus on audio-related problems.
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This role will be tasked with applying machine learning/deep learning to the automotive industry. Proficiency in deep learning techniques and frameworks. 4+ years’ Deep Learning experience.
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Industrial/academic experience advancing the state-of-the-art machine learning-based research through demonstrable, verifiable technical results in their technical domain area (e.g., NLP, CV, etc.
$220,900 a yearFull-timeExpandApply NowActive JobUpdated Today
deep learning jobs Company: Mastercard in Pelham, New Hampshire
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