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You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Industry experience as data scientist and experience in machine learning, data visualizations, data mining, data understanding. Hands-on experience in PySpark, Python and machine learning libraries like numpy, pandas, sci-kit-learn,Should have sound knowledge in both Supervised and Unsupervised Machine Learning Algorithms Like Linear Regression, Logistic Regression, K-Nearest Neighbor, Navie Bayes, Decision Tree, SVM, MLP, PCA, LDA, K-mean, Isolation Forest, DBSCAN, Ensemble Machine Learning Algorithm (Random Forest, Adaboost, Xg-Boost etc.
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Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets.
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The team is supported by Machine Learning and Data Engineering teams that partners with data scientists to make sure we are building a data-driven culture. including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
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Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. Employ Machine Learning and Artificial Intelligence to create best-in-class Fraud, Risk, and KYC products.
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Leverage knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
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7-8 Years of strong expertise in R or Python programming languages and their application to data wrangling, machine learning (e.g., TensorFlow, PyTorch), and data visualization.
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Data analysis, advanced analytics, data science, machine learning, artificial intelligence, or optimization project experienceVisualization and presentation development and deliverySolving ambiguous and complex problems through a systems thinking approachBuilding relationships and trust across functional organizationsMentoring and upskilling/reskilling team membersLicensing/CertificationN/APreferred:Data science certificationCloud infrastructure certification.
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We employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) knowledge to better target customers and prospects, understand and personalize the content, and context needed to optimize their book-listening experience.
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We are looking for a Senior Data Scientist to build and deploy Natural Language processing (NLP) models utilizing a variety of Machine learning and deep learning techniques.
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Proficiency in data science, machine learning, and analytics, including statistical data analysis and A/B testing. Partner closely with Siri search engineering teams on core machine learning algorithms and systems that are part of Siris ability to understand and respond to requests.
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New technologies such as automation present greater opportunities for novel optimization algorithms, machine learning and artificial intelligence techniques to deliver value to the transportation industry.
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Proven expertise and experience in creating a microservice using Flask or FastAPI or R equivalent for a machine learning model. Proven expertise in machine learning model lifecycle.
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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.
$162,000 - $254,100 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Strong Python and database skillsExperience developing and implementing machine learning pipelines for generative AI and ML Models with a strong understanding of deep learning techniques such as GPT, VAE, and GAN.
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machine learning jobs Title: sr data scientist
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