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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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Experience delivering on data science projects using predictive technologies, data mining and/or text mining. Ph. D. with 2 years of experience, or M.S. with 5+ years, B.S. with 7+ years of relevant pharma sales & marketing experience, with degree in Computer Sciences, Statistics, Machine Learning & Artificial Intelligence, Physics, Molecular Biology, Bioinformatics, Computational Informatics, Medical Informatics, Computational Biology or a related field.
$113,000 - $170,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A member of the Global Drug Safety & Pharmacovigilance team, focused on safety operations including but not limited to the collection and processing of safety information from various sources, quality control of safety data entry, regulatory submission of individual cases safety reports (ICSRs), and case exchange with business partner.
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Experience managing and analyzing large data sets using data science tools such as artificial intelligence and machine learning. Through a highly effective Investment Process, they provide solutions across all product platforms and asset classes - equity, fixed income and alternative investments including structured products and specialty assets - through a comprehensive due diligence and oversight process for client portfolios.
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The unit is currently leading the employee file digitization project, which involves utilizing AI and machine learning technologies. All data received will be kept in strict confidence except to inform the individual of the findings and what action will be taken as a result of this information.
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As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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7+ years' experience in ML Ops, data engineering, or a similar role. Spearhead the adoption of industry best practices in ML operations, focusing on areas like version control, data governance, and resource optimization.
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Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
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As a CBRE Strategic Occupancy Planner, you will provide space planning, data mining/analysis, reporting, and interpretation of space planning metrics in an effort to provide recommendations and proposed solutions for a client's occupancy needs.
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Provide analytical and statistical support on HEOR research performed within claims data, EMR data, clinical trial data, and registry data. Work closely with HEOR principals to design HEOR studies to select the appropriate data (e.g., eCRF design, database design, registry data.
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Their responsibilities include: Installing, testing, troubleshooting, repairing or replacing cryptologic networks, physical security systems, electronic equipment, antennas, personal computers, auxiliary equipment, digital and optical interfaces, and data systems Configuring, monitoring and evaluating Information Operations (IO), Information Warfare (IW) systems and Information Assurance (IA) operations Cryptologic Technician Collection (CTR) - CTRs serve as experts in intercepting signals.
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They operate a submarine’s sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. Further training may be received at a “C” School that provides learning in advanced maintenance, TLAM (Tomahawk® Land-Attack Missile) Strike and both computer and computer language skills, including maintenance, operations and security of systems operated and maintained.
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The Senior Data Scientist (Adobe Practice) will work hands-on with Machine Learning and Big Data technologies within the Adobe Marketing Cloud (e.g., Adobe Journey Analytics) and third-party tools (e.g., Databricks, R) to build scalable machine learning data products and solutions.
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TTC, a Curtiss-Wright company, are a recognized leader in comprehensive and integrated data acquisition through telemetry systems that include data analysis units, sensors, transmitters, receivers, and ground station analysis tools to measure, record, transmit, and analyze aircraft and munitions parameters during test flights.
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Extensive Data modeling and experience with ELT development frameworks as well as data and integration technologies such as Databricks, Apache/Pi, Large-scale data analytics tools using Python and Scala.
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machine data mining jobs Title: machine learning engineer Company: Berkeley Medical Center in Titusville, NJ
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