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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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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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Develop and maintain software using Natural Adabas programming language; Natural Programming and/or NaturalONE Certificate or equivalent Adabas Basic/Fundamental Certificate or equivalent.
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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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Deep knowledge of machine learning, both theory and application. 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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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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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. - Provide product information and usage tips to customers to enhance their shopping experience.
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Proficient in creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, natural language processing, decision trees, neural networks, etc.
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This position provides an opportunity to learn about current and future ecological restoration efforts on the Fernbank Museum of Natural History campus and help eradicate non-native invasive species.
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Work with a comprehensive interdisciplinary team which includes Physical Therapy, Occupational Therapy, Language Pathology, Recreational Therapy, Sports Psychology, Athletic Trainers, RN’s, MA’s, Chaplain Therapy, and much more.
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