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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Under the supervision and direction of the Expanded Learning Manager and Expanded Learning Site Lead, the Expanded Learning Mentor (ELM) will develop and implement academic and enrichment activities for groups of 20 students in grades 1st - 8th and/or groups of 10 in grade TK or Kindergarten.
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We are looking for a Machine Learning Engineer to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in todays fast-paced environment.
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Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art, next generation big data and machine learning applications. Proven NLP machine learning skills, including Transformer, BERT, k-shot learning, XGBoost, TensorFlow, PyTorch, Keras, Elasticsearch, etc.
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A minimum of 6 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data scientist, Machine Learning Engineer, or AI Engineer. Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
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CRA has an exciting opportunity for an enthusiastic senior scientist with expertise in maritime operations, data collection/analysis, uncrewed vehicles, sensing, perception, autonomy, simulation, machine learning, and/or computer vision to lead cutting-edge intelligent systems research and development applied to real-world challenges.
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Research experience (publications) in the following areas is preferred machine learning, deep learning, NLP, computer vision, data mining, causal inference, information retrieval, game theory.
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A Staff Data Scientist for Market Regulation Technology will support the establishment of data science and machine learning best practices as FINRA moves to machine learning (ML)-based pattern development.
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Familiarity with concepts of Analytics, Machine Learning, Internet of Things, Business Intelligence, Databases, Data Lakes, Robotic Process Automation, Data security/governance/compliance, Data Modeling, Building a Data Strategy, Data Visualization.
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This range is inclusive of Applied through Principal Machine Learning Scientist compensation. This range is inclusive of Applied through Principal Machine Learning Scientist compensation.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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The faculty in the department conduct research in areas such as cybersecurity, cyber identity, computer vision, data science, big data, quantum computing, artificial intelligence and machine learning, cloud computing, software engineering, multi-agent and social computing.
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Knowledge working with relational databases and query authoring (SQL), and knowledge working with Python, R, or other machine learning platforms. The Co-Op Flight Safety Data Science responsibilities include providing support to the Flight Safety Data and Decision Science Team (DDS) along with the Aviation Safety Action Program (ASAP), Air Safety Investigation (ASI), and Flight Operational Quality Assurance (FOQA) programs.
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As a Lead Engineer on the AI Ops team, you will be responsible for building the next-generation routing engine for the Internet using Data Science, Machine Learning (ML), and Artificial Intelligence (AI.
$164,200 - $241,700Full-timeExpandUpdated Today
machine learning jobs Title: sr data scientist Company: Wells Fargo Bank
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