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This is an immediate hire long term consultancy for 1+ year so please contact ASAP if you are interested in learning more. You will work as part of a small Compliance team conducting SAM alert investigations on intermediary wire transaction monitoring, performing basic data collection and analysis, and assisting the BSA/OFAC Officer in carrying out daily BSA/AML/OFAC tasks.
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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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We are looking for a passionate Software Engineer, Big-Data Engineer, Machine-Learning Engineer, Full-stack Engineer, or UI/UX Engineer, who can contribute and make a difference in any of the different components of our Knowledge Graph Platform.
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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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This is a full-time on-site role for a Pre-K Counts Teacher at Today's Child Learning Centers, Inc. located in Darby, PA. The Pre-K Counts Teacher will be responsible for lesson planning, teaching kindergarten-level curriculum, developing teaching materials, and fostering early childhood education development.
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Apollo school programs take place during the school day and during after-school hours and are focused on teaching and learning through the integration of the performing arts, media, and the humanities.
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The Executive Director, Alumni Relations serves in a pivotal role in fostering lifelong learning and alumni connections between CBS and its alumni, ensuring that alumni are actively involved in the life of the university.
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We are seeking motivated individuals who will provide excellent customer service in a hybrid position for a busy Hospital Corporation in NYC. Responsibilities include: Provide e-learning focused instructional design in the conception, design, development, implementation and quality assurance of system-wide online learning solutions.
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Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company.
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This job will involve learning the fundamentals associated with Equity Research and Investment Banking with opportunity for growth in the US Control Room. Overall understanding of Equity Research, Debt Research, Institutional Sales and Trading.
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Mars Center for Veterinary Excellence - medical learning opportunities as well as leadership development for clinicians who may envision people leadership in their long-term career path. BluePearl University – our own built-in learning management system that houses resources for system training, continuing education, compliance, and personal development.
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As a Quantum Computing Research Scientist Vice President within the Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co., you will have the opportunity to advance the theoretical understanding of quantum algorithms for optimization, stochastic modelling, numerical analysis, machine learning and financial use cases.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required). We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Advanced degree preferred, with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
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Strong background in deep learning and NLP. We are looking for an experienced data scientist with a strong background in LLM and Generative AI. The data scientist will develop advanced data science solutions using LLM to enhance various aspects of their business, such as underwriting, claims, and customer service.
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learning job Title: solutions architect Company: Amazon in New York, Maumelle, Arkansas
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