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AI/Machine Learning Engineer, Manager Consultant. Bachelor's degree and 6-10 years of full-time working experience in AI, Data Science, and/or Machine Learning. A solid understanding of Machine Learning (ML) workflows including ingesting, analysing, transforming data and evaluating results to make meaningful predictions.
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Relentless in our love of linguistics, we use the best of human and machine intelligence to forge understanding that resonates with our customers’ clients. The ideal candidate will have a solid knowledge and professional experience in games test automation and test framework development, great interpersonal skills and Unreal Engine proficiency and AI experience.
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This role is part of the team focused on deploying new and emerging capabilities to out our next generation cloud-based HR, Payroll, analytics, and machine learning platform. Strong understanding and experience of Oracle HCM Cloud configuration and management tools like Page Composer, Alerts Composer, HCM Experience design studio, ESS jobs, Checklists and Journeys and Document Records.
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The Senior Machine Learning Engineer will serve as a key technical leader, driving the design, development, and deployment of advanced machine learning applications. Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
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Experience with Machine Learning and related technologies such as Tensorflow Python, Torch, Amazon SageMaker, Jupiter Notebooks, git. Possess deep functional and technical understanding of the Machine Learning technologies (Google’s Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged across the Fuse landscape.
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Performing pat down searches, operating an x-ray machine, screening baggage, and reviewing tickets. At least one year of full-time work experience in security work, aviation screener work, or X-ray technician work.
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Able to operate or learn how to operate a computer, calculator, fax machine, telephone, paper cutter, copier, hammer, screwdriver, drill, case cutter, hand truck, and pallet jack. Able to operate or learn how to operate a computer, calculator, fax machine, telephone, paper cutter, copier, hammer, screwdriver, drill, case cutter, hand truck, and pallet jack.
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Model Evaluation: Expertise in evaluating machine learning models, conducting cross-validation, and hyperparameter tuning. Machine Learning: 2 + years of experience in machine learning algorithms, supervised and unsupervised learning techniques, feature selection, and model evaluation.
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Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
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Maintains a minimum set of tools as defined by the Apprenticeship Program to diagnose, disassemble and assemble machine components to manufacturer’s specifications. Today, Ring Power Corporate headquarters in St. Augustine oversees the operations of 18 branch locations throughout the state of Florida, including large regional facilities in Tampa and Orlando and crane and forklift sales and service facilities in Pompano.
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Housekeeping Aids sweep, mop, scrub (machine) floors, vacuum carpets and upholstered furniture, empty waste baskets, clean light globes and Venetian blinds, wash walls, windows and ceilings by climbing small ladders, refill toilet tissue and towel dispensers and move furniture.
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Support other workforce development activities to include the completion and development of client materials (new and updates), conducting job readiness classes, conduct financial and digital literacy classes, and coordinate referrals to financial services, including the Change Machine platform.
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Join us as we pursue our disruptive new vision to make machine data accessible, usable and valuable to everyone. In-depth knowledge and proven track record in AI/ML technology, including deep learning, time series modeling, natural language processing, and unsupervised learning.
$156,000 - $264,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Cultivates Csuite relationships with global cloud service providers (CSPs), digital services/SaaS providers, enterprise, cloud and public sector customers, independent software vendors (ISVs), system integrators (SIs), and managed service provider (MSP) partners to maximize utilization of Company product capabilities.
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The Expert Data Scientist will be a champion of the latest Machine Learning and Artificial Intelligence technology stack. Apply state-of-the-art algorithms relying on knowledge of statistical modeling, machine learning, and optimization to or improve the performance/quality of existing health propensities and related data products.
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machine job Company: Adecco Staffing Usa in Tallahassee, FL
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