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The Principal Architect, Machine Learning Solutions (ML), is responsible for developing innovative solutions and technology strategies specifically focused on machine learning (ML) systems.
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As a Senior Associate in our Risk Analytics and Modeling team, you’ll have the opportunity to apply your quantitative, modeling and analytical skills in a real world environment to develop or validate statistical, financial engineering, and AI/machine learning models in the areas of credit risk, market risk, assets and liabilities management, fraud detection, anti money laundering and other functional modeling and analytics area.
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There is an abundance of challenging and sophisticated work here, thus you will be exposed to a diverse array of complex software and computer engineering applications (cryptography, block-chain, artificial intelligence (AI), machine learning (ML), enterprise and mobile applications, databases and data structures, web and cloud services, virtualization, operating systems, file systems.
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At the undergraduate level, we offer bachelor's degrees in Sign Language Interpreting, Special Education, Human Learning and Development, and a minor in Educational Psychology. Collaborate with PROPEL project P-12 and IHE partners and stakeholders for recruitment, program development and professional learning opportunities.
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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.
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Experience in Natural Language Processing, Machine Learning Ops and data pipelines. Lead Machine Learning Engineer. Serve as a subject matter expert in machine learning and fintech domains.
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In supporting rule analysis, Teammate should be able to Independently perform sophisticated data analytics that fit to the fraud problem being observed (ranging from classical econometrics to machine learning, neural networks, and natural language processing) in a variety of environments using structured and unstructured data.
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REPAY offers a comprehensive suite of electronic payment and funding solutions, including debit and credit card processing, ACH processing, Instant Funding, and electronic bill payment systems with full IVR, text, and mobile capabilities.
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Apply advanced knowledge to utilize Rockwell Automation software to read PLC (Programmable Logic Controllers) and HMI (Human Machine Interface) software as well as electrical, hydraulic, and pneumatic schematics to troubleshoot equipment problems to ensure maximum productivity and safe operation of specialized railroad equipment.
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Proficient with the core concepts of at least one programming language such as Python, R, and SQL and adept with machine learning frameworks such as TensorFlow and PySpark. Accredited Artificial Intelligence (AI) / Machine Learning (ML) certifications (e.g., AWS, Google Data Analytics, Microsoft Azure.
$198,375 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As a cashier at our beauty supply store, you will be the first point of contact for our customers, providing exceptional service while efficiently processing transactions. Company DescriptionAloire Beauty World is an beauty supply store where we focus on customer service, presentation and team work.
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Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer. Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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2+ years' experience in HL7 mapping or HL7 message processing within Mirth, Rhapsody, or EHR Integration Engines. Drives interface projects, working with the project manager to ensure that results are achieved, and deadlines are met.
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Preferred ASCP Pathology, Cytology and IHC are all in Dept. 705- receiving specimens from surgery, accessioning specimen into Cerner, collection of blocks from PA staff, processing tissue, embedding, cutting, staining of slides.
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machine learning language processing jobs Title: program manager in Atlanta, SC, France
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