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Under the supervision of the Program Supervisor and / or Program Administrator, the Youth Development Specialist works in partnership with the Group Facilitator to provide project-based cultural learning opportunities designed to engage youth through connections with universal Hawaiian values such as aloha, helping them to develop the social, emotional, cognitive, behavioral and moral competencies necessary to be successful in school and on into adulthood.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
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Strong research record in hardware design for sensor signal acquisition and machine learning: Integrated circuit design, sensor devices & systems, field programmable devices (FPGAs), embedded systems, deep and recurrent neural networks, machine learning model compression and related areas.
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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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Performs duties as needed of Automated Teller Machine (ATM), Vault, Cash recycler and armored car transactions. In addition the Relationship Banker processes all types of financial transactions for clients, balances own cash and assists with vault, ATM cash recycler and armored car duties.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming.
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Working as a subject matter expert, the Technology Support Specialist is responsible for professional installation of Trimble 2D and 3D machine control systems and telematics hardware on non-Cat branded machines and the professional installation of Cat AccuGrade systems on Cat machines.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. AWS, AlienVault, Azure, Bash, Confluence, EKS, GSuit, Github, Golang, HTML, Hashcat, JIRA, JWT, Java, Javascript, Jenkins, Kubernetes, Metasploit, New Relic, Nmap, NodeJS, OWASP, Okta, PCI-DSS, PagerDuty, Python, Rails, Ruby, SAML, SQL, SQLMap, SignalScience, SignalSciences, Slack, Snyk, Sumologic, tenable.io, Twistlock, TypeScript, Wireshark, tcpdump.
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Experience in mathematics (statistics, linear algebra, differential calculus); data visualization (Tableau, Power BI, Qlikview); programming (SQL, Python, R, Java); data analysis (feature engineering, data wrangling, EDA) and machine learning (classification, regression, reinforcement learning, deep learning, clustering, dimensionality reduction.
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Experience applying data preparation methods, feature creation engineering, exploratory data analysis, model creation, and data visualization applied to advanced analytics, machine learning and artificial intelligence.
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The ideal candidate will have industry experience working with PyTorch on a range of deep learning, machine learning, natural language processing, large language models, generative AI, conversational AI, reinforcement learning (RLHF) problems.
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We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts.
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Deep Learning and Machine Learning using frameworks, such as TensorFlow or PyTorch etc. Foster a culture of learning and innovation. 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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Three years experience within the fitness industry in personal training and group exercise instruction with specific knowledge of machine weights, free weights and cardio equipment with a national certification through at least one of the following: ACE, NASM, ACSM, NSCA) or equivalent.
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Desired: SSPC C7 and C13 certifications NACE Certifications AA degree in Industrial trades/Applied Science or similar Proficient with MS Office programs: Word, Excel, & Outlook Ability Operate and use various office equipment, computers, cell phone, fax copy machine Ability to read and understand drawings and specifications Ability to handle multiple tasks and balance priorities Shipyard/Industrial Experience valuable.
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machine learning jobs Company: Cynet Systems in Ewa Beach, HI
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