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Support and troubleshoot contact center technologies which include Call Recording/Transcription Applications, Inbound / Outbound Routing Strategies, IVR, Workforce Management, SIP, BYOC, CTI Integration, WebRTC, Softphones, Genesys Web Browser Extension and Analytics and Reporting.
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Serve as initial point of contact for potential customer via phone. Leaf Home, LeafFilter, and Leaf Home Safety Solutions have been recognized on Qualified Remodeler magazine’s Top 500 list. Our brands, including LeafFilter Gutter Protection, Leaf Home Water Solutions, Leaf Home Safety Solutions, and Leaf Home Enhancements, invest in our commitment to make each home safer and more livable.
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Support and troubleshoot contact center technologies which include Call Recording/Transcription Applications, Inbound / Outbound Routing Strategies, IVR, Workforce Management, SIP, BYOC, CTI Integration, WebRTC, Softphones, Genesys Web Browser Extension, Analytics, and Reporting.
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3-5 years' experience in the Enrollment Management Contact Center or customer service in an International Student Services office or legal firms is essential. The Team Lead - Operations of the Enrollment Management Contact Center is responsible for assisting the Senior Assistant Director in overseeing a team of Enrollment Contact Representatives.
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ESSENTIAL FUNCTIONS ● Voter contact Conduct field-based civic engagement work to increase diverse youth participation in our democracy, locally in the state of hire. This may include, but is not limited to: ○ Voter registration, voter education, GOTV ○ Relational organizing ○ Coordinating and cutting turf with funders and partners ○ Managing data and the associated digital tools ○ Doing in-person and digital direct voter contact ○ Support young people and other volunteers do direct voter contact This description reflects ACE’s assignment of essential functions, it does not restrict the tasks that may be assigned.
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Understanding or experience with Contact Center as a service providers such as Nice, Nuance or Genesys and leading contact center transformation projects. Developing and implementing Contact Center AI & Conversational AI strategies that drive user engagement and adoption, as well as business growth and revenue.
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Leading the design and development of Contact Center AI solutions and Conversational AI solutions that improve customer engagement and satisfaction, reduce customer service costs, and increase operational efficiency.
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Working in Contact-Center-as-a-Service and/or Conversational AI development, with a track record of delivering successful projects; and, Working closely with stakeholders across the organization to ensure that Contact Center and Conversational AI solutions are aligned with company goals and values, and meet regulatory requirements.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Using natural language processing (NLP), machine learning (ML), Generative AI, and other relevant AI technologies and platforms.
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Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Using chatbot development frameworks, such as RASA or Microsoft Bot Framework; Applying experience with cloud platforms, such as AWS, Google Cloud, or Microsoft Azure; Understanding or experience with conversational AI platforms, such as Google Dialogflow, Amazon Lex, IBM Watson, Microsoft Azure hyper-scalers.
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Understanding of Large Language Models such as Bard and/or OpenAI and NLG solutions; Linguistics, Computer and Information Science, Engineering. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology.
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You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops and other techniques to develop these insights. Understanding of data privacy and security regulations and best practices.
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We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Building machine learning models and systems, interpret their output, and communicate their results to internal/client teams and how those outcomes realize business value.
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Relational storage (SQL), Non-relational storage (NoSQL), RASA bot framework, LUIS, Azure; Developing AI solutions for multilingual audiences; To help us achieve this we have the PwC Professional; our global leadership development framework.
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