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As the “front door” of personalization and discovery, Search helps millions of listeners fall in love with the depth of our content catalog across Pandora and SiriusXM.In this role, you will leverage your expertise in machine learning, information retrieval, ranking, natural language processing, and recommendations to frame business goals as machine learning problems, research novel methods, and build machine learning systems for Search and Voice.
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Machine Operator If you are an experienced machine operator looking to advance your career and join an excellent team, consider becoming U-Haul’s newest Operator! After World War II, there existed the widespread need for do-it-yourself moving equipment that would be available on a one-way, nationwide basis.
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5+ years of experience in machine learning engineering, data science, or a related field. Knowledge of machine learning algorithms, statistical modeling, and data structures.
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Possess deep functional and technical understanding of the Machine Learning technologies (Googles Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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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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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Working with Oracle Exadata, Golden Gate, RAC, ASM, Data guard and RMAN.
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We have openings for warehouse, assembly, electrical maintenance technician, production, forklift, machine operators, call center, electrical maintenance technician, receptionist, data entry, customer service, collections, call center, administrative assistant, accounts payable clerk, electrical maintenance technician, accounts receivable clerk, file clerk, and office managers.
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If pursuit of excellence is your calling then this role will provide a springboard in your career for (a) learning breadth and depth of wealth management domain (b) leveraging public cloud, API-first, domain driven design, and data mesh architecture and design principles towards delivering best-in-class technology products, and (c) unique experiences interacting directly with end investors and their advisors and getting the satisfaction of your work product being in the hands of customers.
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Must have solid hands on experience in COBOL, DB2, Stored Procedures, CICS and MQ. Front end and back end experience. Hands – on experience in coding, testing and debugging programs written in COBOL/CICS/DBE.
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Strong hands-on experience in data architecture, data modeling, Could data engineering and ETL processes. Overall 10+ years of experience in building complex IT solutions more focused on data pipeline (Data Engineering, Data Warehousing, DataLake, DeltaLake, Bigdata, Data Streaming, unstructured data, and data modeling for BI/AI solutions.
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The ideal candidate will have hands-on experience with healthcare data, demonstrated innovative, and creative methods for overcoming testing constraints, as well as successfully applying machine learning techniques to address business needs.
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Must have more than 1 year of hands-on experience in professional development and production deployment of Custom PowerApps using MS PowerApps Suite. Must demonstrate substantial, hands-on, successful experience in actually doing the work on the systems being used, usually at least three years of such experience.
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Contribute to qualitative and quantitative research projects through collaboration with data trends from cross-functional teams (Pharmacovigilance, Epidemiology, etc.) Maintain data integrity and traceability across the transformation lifecycle from the Source to Target.
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PhD Computer Science, Mathematics, Statistics, Physics, Linguistics or a related field with a dissertation, thesis or final project centered in Machine Learning and Deep Learning) with 3+ years relevant experience is preferred but not a must; OR.
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Experience with geologic mapping, geotechnical and geophysical data collection, sample collection of laboratory analysis, experience using handheld X-Ray Fluorescence (XRF) analyzers a plus. 2-5 years of experience as a field geologist, experience working on mine exploration projects is a plus.
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search data hands on machine learning jobs in Trenton, NJ
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