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Chatbot Development: Designing and developing a sophisticated chatbot system with natural language processing capabilities within ServiceNow to understand and respond to user inquiries regarding IT incidents and problems.
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The chatbot technology is expected to be fully leveraged within ServiceNow or compatible with client and RRMS instances of the ITSM platform. Familiarity with chatbot development frameworks and platforms, especially in ServiceNow.
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The HRIS Specialist will be responsible for working with multiple parties to collect, audit, build FAQ and upload data into Chatbot. In addition to Chatbot the position will be responsible for low level HRIS functions of sending out notification to employees and auditing data.
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Their largest enterprise customers, such as T-Mobile and DIRECTV, have requested more chatbot functionality to book meetings on their behalf, send price quotes, answer product FAQ, and handle common objections using human-in-the-loop systems, powered by AI.
$100,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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You will be developing Bots – Voice Bot and Chatbot utilizing Genesys GIA, Google Dialogflow, and Google Cloud Platform. Experience in architecting and building AI powered chatbot applications utilizing Dialogflow.
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The ideal candidate will have a deep understanding of ITSM processes and a strong background in implementing automation solutions, advanced analytics, machine learning, and chatbot technologies.
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As the Product Marketing Manager, AI at Sendbird, your objective is to grow the company's artificial intelligence (AI) chatbot and generative AI business. Formulate and implement competitive strategies to secure an advantage in the AI chatbot and LLM market.
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As a member of our Product Support Operations and Strategy team, the Automations & AI specialist will help us leverage the power of AI to continue driving excellent customer support at scale, own and optimize our Support AI chatbot performance, and identity and implement automation opportunities in our processes (Zendesk and other Support systems.
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Experience in training and fine-tuning machine learning models for chatbot applications. Implementation and maintenance of quality assurance processes for chatbot development. Leverage Language Models (LLMs) to make the chatbot more natural and conversational.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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We are looking for a Full Stack Engineer who is passionate about solving complex, meaningful problems to join our Chatbot team. Leverage feedback from customers and our internal teams to continuously iterate on our Chatbot.
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Implement natural language processing (NLP) and machine learning capabilities to enhance chatbot intelligence. Experience with chatbot deployment and maintenance in production environments.
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Monitor chatbot performance and make improvements based on user feedback and analytics. Proven experience of 3 – 5 years in chatbot development, with a focus on the Kore.ai platform. Create conversation flows, intents, entities, and dialogs to optimize chatbot interactions.
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Collaborate with business stakeholders to gather and understand requirements for chatbot projects. Design, develop, and maintain chatbot solutions on the Kore.ai platform. Familiarity with chatbot analytics tools and reporting.
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We are looking for a Full Stack Engineer who is passionate about solving complex, meaningful problems to join our new Chatbot team. Partner closely with our product managers, engineers, product designers, and key business leaders to improve the overall self-serve rate of our Chatbot.
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Knowledge of cloud platforms such as AWS, Azure, or Google Cloud." Experience in designing and implementing multilingual chatbots." Test and debug chatbots to ensure optimal performance and user satisfaction.
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chatbot job
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