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Emerging Technologies Group: Covers a wide range of work, including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning, and quantum computing.
$75,000 - $92,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Program Description:The City University of New York School of Professional Studies (“CUNY SPS”) has partnered with New York City’s Department of Citywide Administrative Services’ (“DCAS”) Division of Energy Management (“DEM”) to design, develop, and deliver an adult learning-centric energy management training program.
$70 - $96Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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4- 8 years of experience as machine learning engineer/data scientist. Experience using machine learning libraries or platforms, including Tensorflow, Caffe, Theanos, Scikit- Learn,or ML Lib for production or commercial products.
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Ability work with stakeholders to drive project ideas and turn them into rigorous solutionsExpert knowledge of Python and SQLDesired CharacteristicsWorking experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs. Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.
$185,000 - $220,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. Organizational Skills: Exceptional project management abilities, capable of managing clients, internal stakeholders, project and product team members, and project timelines effectively.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Experience as a user or implementer or Treasury Management Systems and Payment tools is preferred; some examples are Quantum, Integrity, Kyriba, GTreasury, Trax, Bottomline Technologies among others.
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Growth stipend: We believe learning is the key to winning, so we offer an annual learning budget of $1,200 per person to spend on courses, conferences, coaching, or whatever you think will help you improve and grow as a software engineer.
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Join the Anheuser-Busch NAZ Tech Data and Analytics Team as a Machine Learning Engineer. Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions.
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Experience with data ingestion technologies such as Azure Data Factory, SSIS, Pentaho, AlteryxExperience with visualization tools such as Tableau, Power BIExperience with machine learning tools such as mlFlow, Databricks AI/ML, Azure ML, AWS sage maker, etc.
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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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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.
$176,000 - $333,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Databricks Machine Learning Certificate Preferable. Knowledge of data cataloging, data lineage, and metadata management is also important. This includes knowledge of identity and access management, network security, encryption methods, secure data communication, and securing serverless architectures.
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Experience building loan-level credit/prepayment models from data preparation, data analysis, and model estimation through deployment into productionExperience with generalized regression models as well as machine learning frameworksVery strong programming and software design skills (Python, C.
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This includes knowledge of identity and access management, network security, Azure Data Factory, Databricks, Data Lake, and Power BI. Azure Databricks Data Engineer Professional Certificate is required.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. entry-level software programmers, Java full-stack developers, Python/Java developers, Data analysts/ Data Scientists, and Machine Learning engineers.
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machine learning product management jobs Title: devops in New York, Fernley, Nevada
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