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Reporting to the Director of Learning Program Development, the Manager of Learning Programs will work closely with ACS Workforce Institute (WI) leadership and staff and stakeholders at ACS and within provider agencies as well as other external consultants to develop learning programs that provide direct service staff and supervisors with the knowledge and skills necessary to better serve children and families.
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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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You will be responsible for building end-to-end machine learning solutions, implementing models in production, and working with various data frameworks and tools such as Python, Spark, and Databricks.
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Country: United States of America The Senior Director, Model Validation for Santander US 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 SR11-07 and other regulatory requirements around Compliance models.
$330,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using our proprietary platform combining spatial biology, pooled screening, in silico protein engineering, and machine learning, we can obtain both depth and breadth when screening cell therapy candidates – speed without compromising on in vivo accuracy.
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Expertise in data engineering workflows, including constructing and maintaining ETL pipelines for machine learning tasks. Strong grounding in deep learning, classical machine learning techniques, and statistical analysis, with experience applying them to complex, large-scale datasets.
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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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Open Roles include software, big-data, machine learning, full-stack, and UI/UX engineer. 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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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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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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In-depth understanding of modern machine learning (e.g. deep learning methods), models, and their mathematical underpinnings. Algorithm Development and Maintenance: Utilize cutting edge machine learning methods to develop algorithms for personalization, recommendation, and other predictive systems; maintain algorithms deployed to production and be the point person in explaining methodologies to technical and non-technical teams.
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Working closely with NVIDIA Research, Developer Technology, and Product Management teams in the areas of quantum computing, programming systems, and machine learning. Good understanding of Machine Learning and Deep Learning technologies.
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Develop machine learning models, such as gradient boosting machine (GBM), XGBoost, natural language processing (NLP), neural network, and random forest with minimum guidance. Minimum of 4 years of data science work related experience in data mining and machine learning required.
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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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Catapult Learning is seeking a part-time, school nurse to work in at the Hoboken Catholic Academy in Hoboken, NJ for the 2023-2024 school year. Description Position at Catapult Learning School Nurse Hoboken Catholic | Part-time | Hoboken, New JerseyAt Catapult Learning, we provide educational solutions that generate academic achievement and better life outcomes for students.
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machine learning open source jobs Title: program manager in New York, NY
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