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7+ years of practical/applied experience with data mining, statistical modeling, and machine learning methodologies or equivalent. Break down open-ended search relevance problems into engineering strategies by utilizing machine learning, data analysis, and experimentation design.
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Experience and/or significant course work in any of the following areas: Network Security, Cryptography, Database Structure and Management, Machine Learning, Data Modeling, Data Storage/Interfaces, Electrical Communications, Image Recognition/Processing, Medical/Business/Fintech Informatics, Video Encoding/Decoding, Virtual Reality, Virtual Machines, Cloud Computing.
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We use state-of-the-art large-scale machine learning technology, the cutting-edge NLP, CV and multi-modal technology to build the industry's top-class search engine to provide the best e-commerce search experience, for more than 1 billion monthly active TikTok users around the world.
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Responsible for the development and support of state-of-the-art algorithms involving to data fusion, sensor fusion, machine learning, manned/unmanned avionics improvement programs, and genetic programming.
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Hydroinformatics - Motivated by the expansion of data acquisition systems and the need for managing and using massive datasets, this position requires specialization in information systems and technology for water management, engineering, and operations, with expertise in extreme data management, analytics, data mining, large dataset access, remote sensing, artificial intelligence, machine learning, water systems modeling, and geographic information systems.
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PSC advances science across a wide spectrum of fields, including artificial intelligence / machine learning, medical imaging, weather modeling, cell biology, and genomics. Flexibility, excellence, and passion are vital qualities within PSC. Inclusion, collaboration, and cultural sensitivity are valued proficiencies at CMU. Therefore, we are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity.
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We are looking for a highly-skilled and experienced machine learning engineer to join the Search team to lead our search quality efforts through their early ML phase (and beyond.
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5 or more years of experience executing data science projects involving advanced techniques (such as NLP, Generative AI, statistical analysis, predictive modeling, financial forecasting, data visualization, and machine learning) from beginning to end.
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Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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Strong technical and consultative experience managing ESI through the EDRM including staging, processing, culling, email threading, clustering, communication analysis, machine learning, predictive modeling, etc.
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Develop experimental and analytic plans for machine learning algorithms and data modeling processes, use of strong baselines, and ability to accurately determine cause and effect relations.
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Manage matters within Cardinal Health's internally hosted E-Discovery platform including processing, data culling, email threading, predictive analytics and workflows, tagging layout design and implementation, custom field creation, batch creation, search creation, production sweeps and QC, and production creation and transfer all with an eye toward best practices.
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The eDiscovery team at Cardinal Health is a specialized team of eDiscovery professionals, with backgrounds in Legal, IT, Project Management, and Data Analytics. Experience consulting on and implementing effective preservation and collection strategies for various data types outside of email, including Forensic Laptop Imaging, Teams, Mobile Messaging, Slack, Salesforce, Structured Data, etc.
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Utilize industry standard electronic discovery and data forensic hardware and software to ensure data integrity and defensibility. Utilize a variety of archiving and data analysis applications and provide technical subject matter expertise to legal professionals.
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8 years of eDiscovery Project Management/Consultant experience preferred. Conduct preservation, collections and processing using the following tools: EnCase, Cellebrite, Nuix, Heureka, Relativity One, M365 Compliance Center.
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