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Data Engineers on the Disney Streaming Machine Learning and Innovation team develop and maintain systems and datasets that are used for Fraud/ATO/Bot Detection on Disney Streaming's suite of streaming video apps, notably Disney+ and Hulu. In this role you will partner with Applied Machine Learning Engineers and Data Scientists to help manage and scale processes to create algorithm input features and datasets.
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Reporting to the Lead Data Scientist, you will play a crucial role in our analytics capabilities, spearheading the development and implementation of cutting-edge machine learning and artificial intelligence frameworks that empower our customers to unlock actionable insights from complex data.
$161,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
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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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For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.
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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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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Provides general repair work on refrigeration, heating, and ventilation equipment, such as air conditioning units, evaporative condensers, ice machine equipment, water pumps, gas furnaces, compressors, and electric motors in a safe and timely manner.
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Maintain positive staff relations (in all areas outlined in Manager evaluation form) Manages, coordinates and aids in execution/facilitation of all on-site training programs, seminars, operational rollouts and further learning & development needs (as per General Manager, AGM, HR Manager and Director of Training.
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Advanced knowledge with Adobe Learning Manager, Workfront, Confluence/Wiki, and SharePoint. Advanced knowledge with Adobe Learning Manager, Workfront, Confluence/Wiki, and SharePoint. Required Skills: Workfront administrator, User documentation, Adobe Certified Professional.
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USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Job Title: Collections Management Archivist Location: USO-Archives Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 274686 About Us The University System of Georgia (USG) is comprised of 26 higher education institutions as well as the University System Office (USO.
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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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The ideal candidate must have a working knowledge of federal, state, and local laws and regulations affecting the delivery of school health services, normal and abnormal child development, and educational principles and approaches pertinent to children with various intellectual and learning disabilities, special needs preschool children, and principles of nursing.
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Familiarity with advanced machine learning architectures GANs, GRU, LSTMs, RNNs, CNNs, style transfer. Experience with Data Analysis and Machine Learning Tools and Libraries like Jupyter Notebooks, Pandas, SciPy, Scikit-learn, Gensim, tensorflow, pytorch, etc.
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machine learning jobs Company: Evenup in Atlanta, ID, France
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