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Grow the use of Machine Learning and Artificial Intelligence algorithms to improve Coach and Client Experience and Operational Efficiency. Maintain a high performing Data Science, Engineering, and BI team that supports the data integration and business insights needs of various internal and external systems.
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O Blow molding, inclusive of PET processing, machine set-up, mold changes, and quality inspection systems. o Filling/capping, beverage processing methods, cap feeding systems with light closures, vision inspections systems and laser date coders, quality/sanitation standards, and conveying systems o Labeling technology, roll-fed and/or cut and stack, machine set-up, hot melt gluing systems, and conveying systems.
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Open to learning new skills in the areas of 3D printing, materials and food science, computational design, and tissue engineering. This is enabled by ground-breaking innovations in 3D Printing, automation, and tissue engineering.
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The Director of Engineering is responsible for overseeing the day-to-day operations of the Engineering division. The Director of Engineering will embrace. the role of mentor to junior engineers and assist the engineering management team in honing their.
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Architect, design, develop, and implement next-generation data streaming and event-based architecture / platform using software engineering best practices in the latest technologies:Data Streaming, Event Driven Architecture, Event Processing FrameworksDevOps (Jenkins, Red Hat OpenShift, Docker, SonarQube)Infrastructure-as-Code and Configuration-as-Code (Ansible, Terraform / CloudFormation, Scripting.
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Knowledge of Statistical Analysis, Machine Learning and Deep Learning (NLP) preferred. Experience using data visualization tools such as Tableau, Microstrategy, Cognos BI etc.
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Since first opening our doors in 1998, HBK Engineering has quickly emerged as a leader in the utility infrastructure space through our experience on smart grid, modernization, resiliency, communications, fiber to the home (FTTH), and microgrid projects.
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5+ yrs hands-on experience with Data Engineering. Lead the Master Data Management (MDM) platform and collaborate with Data Owners and Stewards of key master sets to curate and enable a comprehensive foundation.
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The institute is dedicated to the application, understanding, collection, and risks of data and the development of machine learning and artificial intelligence systems across a range of critical and emerging fields, from neuroscience and precision medicine to climate resilience and sustainability, public sector innovation, and the social sciences and humanities.
$21 - $36.5 an hour depends on experienceFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Apply machine learning algorithms to large sets of structured and unstructured data to solve a broad range of advanced exploitation problems that include applications in pattern recognition, target detection, tracking, and decision systems.
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A minimum of six years as a Certified Central Sterile Processing Technician, or LPN with certification in Central Sterile Processing. Job Description Under the general supervision of the Periop Director and Sterile Processing Manager, the Team Leader is responsible for guiding instrument processing technicians and developing and implementing systems that cost-effectively support clinical operations without compromising the quality of patient care.
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Qualifications Bachelors Degree in Engineering (Software, Electrical, Mechatronics or similar) and 10+ years of experience or an Associates Degree with 15+ years experience with Machine Design/Engineering.
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Conduct comprehensive probabilistic risk assessments (PRA) and engineering analyses utilizing industry-standard methodologies and tools to evaluate and mitigate potential risks associated with nuclear power plant operations.
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Duties and responsibilities:Prepare design documents and reports for civil site development (site layout, grading, storm water, erosion control, utilities, and other infrastructure systems) Creates feasibility studies by analyzing engineering design, conducting environmental impact studies, and assembling data.
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Qualified candidates will apply strong systems engineering knowledge and understanding in the areas of signal processing, performance modeling, and RF simulation working with various systems, hardware, and software teams.
$102,400 - $153,600 a yearFull-timeExpandApply NowActive JobUpdated Today
machine learning language processing data engineering jobs Company: Thomson Reuters in Baltimore, MD
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