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Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices. Experience in Data Science, Data Mining, Machine Learning, Predictive Modeling best practices.
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Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Experience in AWS Athena, Elastic search, AWS MSK, Dynamo DB, Spinnaker, Spark, Data Modeling, Shell Scripting, Stored Procedures, X-ray, Datadog.
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Produce / Floral: Stocker, Clerk, Floral Arrangements, Production (Fruit and Vegetable Cutting) Specialty: Beer, Wine, Cheese Cutting and Wrapping, Chocolate, Pub Service. Prepared Foods: Deli Counter Service, Kitchen, Food Prep, Dishwasher, Culinary Venues (Pizza Maker, Sandwich Maker, Runner: Hot Food / Salad Bar.
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Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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San Francisco, California (Hybrid On-Site): $213,400 - $243,500 for Lead Machine Learning Engineer. New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Machine Learning Engineer.
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May be required to perform a range of grounds maintenance activities, such as cutting grass and weeds, maintaining lawn equipment (small engine repair), cleaning ditches and culverts, making routine grounds inspections for sprinkler system leaks and other problems, repairing sprinkler leaks, repairing fences, and picking up trash.
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Strong knowledge of control system principles, distributed control systems (DCS), programmable logic controllers (PLC), human-machine interfaces (HMI), and process automation. Foster a culture of knowledge sharing and continuous learning by conducting workshops, developing training materials, and sharing expertise with the plant teams.
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In support of this effort, PepsiCo is looking for an experienced hands-on leader to deliver creative solutions to meet the broader enterprise objectives by spearheading Hyper-Automation (RPA, artificial intelligence & machine learning and Conversational Interfaces) initiatives in our global organization.
$106,300 - $177,850 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Strong knowledge of adult learning principles and instructional design methodologies. Continuous Improvement: Stay up to date with industry trends, sales methodologies, and adult learning principles.
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Strong knowledge of Conversational AI technologies, including Natural Language Processing (NLP) and Machine Learning (ML). As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving the development and success of our cutting-edge chatbot technology.
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We're offering the opportunity for highly qualified individuals open to joining our dynamic, innovative team that is on the cutting edge of aerospace to participate in a hybrid (Onsite in Richardson, TX & Virtual) Hiring Event on Thursday, April 18th 4:00 - 8:00PM CST. Complete your pre-registration for a chance to participate by clicking here Confirmation and details will be sent to selected participants.
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In HBM DEG (High Bandwidth Memory, DRAM Engineering Group), we innovate and integrate end-to-end groundbreaking front-end and backend processes with groundbreaking design, debugging various tests, and qualification techniques to develop the lowest power per bit solutions to improve customer experience in the field of ML (Machine Learning) and AI (Artificial Intelligence.
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Must have desire for continued learning opportunities and willingness to embrace instruction and feedback Educational or work experience in any of the following areas is a plus: babysitting, childcare, elementary education, teaching, classroom aid, paraprofessional, special education, early intervention, day care, preschool, head start, camp counselor, teacher, pediatric healthcare professional, etc.
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Route execution process/documents freight units, freight orders, route plan, load plan, integration with mobile devices in batch, on demand and real time, vending machine loading/retrieval, vending collections and settlement.
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Applicants must have strong analytical, remote sensing and GIS skills and an exceptionally strong understanding of machine learning algorithms. Proficient at machine learning algorithms, familiar with algorithms like Generalized Linear Model, Random Forest, CART, and/or deep learning.
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cutting machine learning jobs in Plano, TX
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