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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.
$147,500 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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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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Solid understanding of Large Language Models, Machine Learning, Deep Learning, Generative AI, Supervised learning, data science, and data engineering. Note: Machine Learning/Artificial Intelligence experience are nice to have.
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Minimum of 3 years' experience related to new technology (Digital Thread / Twin, Robotic Process Automation, IoT, Machine Learning, Artificial Intelligence, Blockchain, etc.) Digital Factory Strategy - Industry 4.0, IoT platform, artificial intelligence, machine learning, prescriptive maintenance, connected devices, connected workers, blockchain, etc.
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The role will involve working on some of the world's most sophisticated SoC designs within areas such as autonomous driving and machine learning. The Senior Verification Engineer will be responsible for advanced UVM based testbench development and owning RTL verification test/coverage at system level.
$-192,615ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with and provide subject matter expertise to partner learning professionals with the goal of upskilling CrowdStrike partners through enablement experiences, including live training, on-demand learning, video job aids, assessments, podcast education and train-the-trainer programs.
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Familiarity with emerging IAM skills like IAM in Multi-Cloud (AWS, Azure, Oracle, GCP) and Hybrid Environments, Identity Analytics and Machine Learning, Biometrics & Password less Authentication, Adaptive Authentication, Authorization, and Access Controls.
RemoteExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Deploy machine learning models to cloud platforms such as AWS, Google Cloud Platform, or Microsoft Azure. 15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience in computer science, computer engineering, mathematics, or equivalent field with a focus on artificial intelligence/machine learning.
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Would you like to work with world-class learning professionals to translate your technical expertise into compelling enablement experiences for CrowdStrike? You're an accomplished cybersecurity pre-sales, professional services engineer, or otherwise subject matter expert who knows how to translate technical concepts into meaningful narrative for diverse audiences.
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The role includes performing testing as part of audit reviews of various model types including: Capital Stress Testing (CST), Fraud, Anti-Money Laundering (AML), Machine Learning, Credit risk, Interest Rate risk, Margin risk, Investment risk, and Business Intelligence/Marketing.
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Machine-learning, statistical analysis, artificial intelligence, predictive analytics. The Data Engineer is responsible for supporting the Enterprise Data & Analytics team by performing a wide range of data engineering and data management work.
$85,034 - $128,613 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms; Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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machine learning engineer jobs Company: Samsung Semiconductor in Austin, Fernley, Nevada
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