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As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
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Job Description We're looking for an AI/ML Scientist who loves to solve complex problems and has experience with Natural Language processing and Machine learning. As an AI/ML Scientist, you will apply your knowledge of NLP and ML to build product features that use state of the art methods in entity extraction, clustering and classification.
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Cutting-Edge Proficiency: Exhibit desirable proficiencies in big data technologies, cloud platforms (Azure), NLP, and deep learning. Strategic Leadership: Provide 10+ years of visionary leadership, specializing in Automotive Data Science, machine learning, and predictive modelling,with a focus on the past 4-8 years.
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Collaborate on a team of data scientists to build machine learning models through all phases of development, from design through training, evaluation, validation, implementation, and maintenance.
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Bachelor’s degree (Master's or PhD preferred) in Data Science, Computer Science, Machine Learning, Business Analytics, Statistics, or mathematics or a related field or equivalent. We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics, and video processing, combined with world class software and silicon development.
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We are seeking a Machine Learning Scientist to join our team. Our cloud-based Machinify AI platform leverages the latest advances in machine learning, large language models, data analytics, and cloud processing to solve previously intractable problems, transforming healthcare administration and payment operations.
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In this role as Lead Data Scientist, your responsibilities will include developing advanced data science solutions, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products.
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5+ years of experience using machine learning such as NLP, image recognition, boosted trees, or related duties. Machine Learning and Statistics. Lead Data Scientist - Remote.
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Strong hands-on experience with Python and Jupyter Notebooks, Databricks building NLU/NLP machine learning models. You'll code with machine learning tools like Python, Jupyter Notebook and Databricks to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Strong skills in NLP, LLMs and deep learning. AWS or GCP) and developing machine learning models in a cloud environment. A track record of high-caliber publications in peer-reviewed machine learning venues (e.g. NeurIPS, ICLR, ICML, EMNLP, CVPR, AAAI etc.
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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4+ years of hands-on experience in one of the following technical domains: machine learning, recommendation systems, pattern recognition, NLP, artificial intelligence, or a related technical field.
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The successful candidate will play a role in applying machine learning (ML) and natural language processing (NLP) methodologies to promote data-driven and automated clinical operations across various therapeutic areas.
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Develop novel and accurate NLP algorithms and systems, leveraging Deep Learning and Machine Learning on big data resources. We are seeking individuals passionate in areas such as deep learning, computer vision, audio and speech processing, natural language processing, machine learning, reinforcement learning, computational statistics, and applied mathematics.
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The Team: S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for an experienced ML scientist and hands-on NLP/Gen AI/ LLM senior scientist to grow into the next step in their career journey and apply her or his domain expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while mentoring and growing a ML Data Science team.
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