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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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Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.
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Experienced in one or more major machine learning frameworks: Tensorflow, Pytorch, JAX, Keras, MXNet, Scikit-Learn. Machine Learning Scientist – Quant AI - Vice PresidentThe Machine Learning Center of Excellence invites the successful candidate to apply sophisticated machine learning methods to a wide variety of complex tasks including natural language processing, speech analytics, time series, reinforcement learning and recommendation systems.
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Job DescriptionGen AI Solution Architect/Delivery Lead -DescriptionJob Title: Databricks Generative AI Solution Architect / Delivery LeadJob Location: Hybrid (preferred base cities: Atlanta, NYC, Chicago, NYC, Dallas, Houston, and Seattle)Job description: The AI Architect will leverage expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges.
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Capital One is seeking a product owner to help deliver game-changing cybersecurity solutions based on threat, data, and design thinking. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Mathematics, physics, statistics, stochastic calculus, scientific computing, econometrics, machine learning algorithms, financial modeling. We are responsible for managing the firm’s liquidity, funding, balance sheet and capital to maximize net interest income and return on equity through liability planning and execution, financial resource allocation, asset liability management, and liquidity portfolio management.
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The Ramp team comprises talented leaders from leading financial services and fintech companies—Stripe, Affirm, Goldman Sachs, American Express, Mastercard, Visa, Capital One—as well as technology companies such as Meta, Uber, Netflix, Twitter, Dropbox, and Instacart.
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Experience in Data science and Machine learning using Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft machine learning studio, PyTorch, IBM Watson and any graph DB.
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ING Debt Capital Markets (DCM) is looking to hire an Associate to bolster its Asset Securitization team. Liaising with other key ING internal stakeholders (in particular the client/sector coverage teams, other DCM departments in the US, Europe, and Asia Pacific, capital structuring & advisory, credit research, corporate sales, etc.
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Experience using one or more quantum computing and deep learning frameworks (e.g., Qiskit, Cirq, Pennylane, TNQVM, TensorFlow, PyTorch). Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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The US GRPA team is responsible for monitoring new developments impacting the US prudential regulatory capital regime, as administered by the US Agencies - the Federal Reserve, OCC, and FDIC. GRPA covers key aspects of prudential policy, including risk weighted assets (RWAs), capital resources, Liquidity ratios, and leverage ratios, across all relevant risk areas e.g. credit risk, counterparty credit risk, market risk, securitization, and Credit Valuation Adjustment (‘CVA.
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The Learning to Work (LTW) at Young Adult Borough Centers Program will provide services to students, ages 17 1/2-21 that are over-aged for grade, under-credited, and have spent at least one year in another high school to earn a high school diploma and gain valuable vocational and life skills supports.
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Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Director, Model Validation for SHUSA Compliance models (Transaction Monitoring, Sanctions Screening, Fraud Risk, etc) will be responsible for leading the independent validation of models used by various Compliance groups in conformance with regulatory guidance on model risk SR- and other regulatory requirements around Compliance models.
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machine learning capital one jobs Company: Tech Consulting in New York, NY
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