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Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems, backend, large-scale systems, data science, full-stack.
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Hands on experience with Modern Data Warehousing in cloud, Azure Data Factory, Azure Databricks, Pyspark, Azure DevOps, Azure Machine Learning, Azure Data Lake, Power BI, MS SQL Server, SSAS, SSRS, SSIS, Tableau, Alteryx, Natural Language Processing, Scikit-Learn (Classification, Clustering and recommendation system.
$44.42 - $71.05 an hourFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The Production Machine Trainee will be trained on entry-level manufacturing duties and machines. Analytical - Synthesizes complex or diverse information; Uses intuition and experience to complement data; understands the work flows and procedures.
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They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business value and effectiveness for the commercial technology segments.
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Performs basic trial runs to check accuracy of machine settings or programmed control data. SUMMARY The Production Machine Operator individual performs the basic set up and operates automatic machines in accordance with established shop practices.
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Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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We offer the full suite of maintenance and turnaround services including hydro blasting, hydro cutting, hydro excavation, chemical cleaning, PEPTM polymer extraction service, vacuum services, tank cleaning, degassing/vapor control, FCC catalyst handling and transportation, and specialty turnaround services.
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Proficient with hand tools, power tools, press brake, horizontal/vertical saw, bending machine (for raceways), welding machine, assembling, hammer and jigsaws. GPAC (Growing People and Companies) is an award-winning search firm specializing in placing quality professionals within multiple industries across the United States since 1990.
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Showcasing excellence in refining and optimizing software for machine learning, ensuring it meets high standards of maintainability, quality, resilience, and performance. Familiarity with the graphics pipeline and 3D software packages for manipulating data.
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Designs/adapts project performance monitoring database to report national and global indicator and performance indicator data quarterly to senior managers, COP, and Pathfinder headquarters. Ability to design learning questions and indicators which focus on measuring how policy, advocacy, governance and finance are being leveraged to improve the enabling environment for youth FP/RH outcomes.
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Data and Informatics Responsibilities: Associate Director, Managed Care Informatics and Data oversees and coordinates the extraction, aggregation, and quality assurance of data from multiple sources in support of performing managed care plan and Ryan White reporting, operational reporting and quantitative analyses of utilization, eligibility, quality, and claims data.
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Interface with machine tool suppliers and OEMs for technical data, spare parts availability, and out-sourced maintenance and repairs. Corrective actions may include axis alignment, mechanical calibration, vibration reduction, and machine accuracy.
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Accurate data entry and maintenance of in-service records for all employees of Wraparound and Community Services Employees is the responsibility of this position. The Training Coordinator also serves as a subject matter expert in Thinking Cap, provides hands on training to staff having a difficult time learning to use the system and responds to e-mails and phone calls from staff members seeking technical assistance.
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Demonstrated experience with data mining, machine learning, data science and data interpretation techniques. Research, Teaching, and Learning (RTL) at UC Berkeley is looking for an experienced data engineer with a data science background to be part of a new initiative supporting Learning Analytics.
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Executive Search, Permanent Placement, Partner, Attorney, General Counsel, Corporate Counsel, Law Firm Management, New Market Entry, Legal Staffing, Managed Legal Services, Legal - Paralegal, Executive Coaching, Contract-to-Hire, Information Technology, Legal - Support, Human Resources, Accounting & Finance, Administrative, Document Review & Managed Review Services.
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