12 Intent Detection Jobs

As a Contact Center Solution / Technology Architect with hands-on experience, your role will involve assessing the current contact center architecture and designing a migration roadmap to a CCaaS platform. You will be responsible for recommending solution architecture for platform modernization and identifying opportunities to enhance customer experience using AI technologies such as intent detection, virtual assistants, predictive routing, and sentiment analysis. Key Responsibilities: - Proficiency in contact center technologies including on-premises and CCaaS - Deep knowledge of call flows, IVR, skill-based routing, omnichannel servicing, and customer journey orchestration - Knowledge of R...

Configure and manage Generators to create dynamic, personalized system responses based on user input and contextual data. Architect and manage Datastores to persist session and user data, supporting adaptive and context-driven interactions. Collaborate with backend developers, business analysts, UX designers, and QA teams to ensure seamless integration of conversational logic with APIs, databases, and business processes. Perform thorough manual testing and conversation flow optimization, verifying accuracy of intent detection, entity recognition, and backend integration for enhanced chatbot performance.

Role Overview: As a Contact Centre Data and AI Architect, your primary responsibility will be to utilize your in-depth knowledge of Genesys and Five9 data ecosystem for supporting the migration of contact centers to CCaaS. You will play a crucial role in developing data solutions around this migration by defining a data strategy to migrate historical and real-time data to the cloud with minimal disruption to downstream systems. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Your expertise will be pivotal in identifying opportunities to enhance customer experience through AI technologies such as intent detection, virtual assistan...

Role: Zendesk Consultant Required Experience: 5-7 years Job Location: Work from Anywhere (Pune / Bengaluru / Chennai / Hyderabad / Kolkata / Mumbai / Indore / Ahmedabad / Jaipur / Noida / Patna / Gurgaon / Lucknow / Dehradun / Chandigarh) Job Description: Must have Skills: Zendesk Key Responsibilities: Lead end-to-end Zendesk implementations across Support, Guide, Chat, Messaging, and Talk. Conduct requirement-gathering sessions and translate business needs into Zendesk workflows. Configure SLAs, triggers, automations, macros, views, and ticket routing rules. Set up user roles, permissions, and Help Center/knowledge base customizations. Implement and optimize Zendesk AI features (bots, routi...

About The Role The ideal candidate should have a solid background in backend development, AI/ML orchestration, and data management , with hands-on experience in Generative AI and Agentic AI frameworks . They will be responsible for building REST APIs , managing data pipelines , and implementing AI/ML solutions such as retrieval-augmented generation (RAG) , intent detection models , and autonomous AI agents to deliver intelligent, production-ready solutions. Key Responsibilities Backend Development: Design, develop, and maintain REST APIs using Python to integrate AI/ML services. Agentic AI Development: Design and orchestrate AI agents capable of reasoning, planning, and executing multi-step ...

Perform thorough manual testing and conversation flow optimization, verifying accuracy of intent detection, entity recognition, and backend integration for enhanced chatbot performance. Drive best practices in conversation design, optimization, and NLP (Natural Language Processing) model tuning for improved response accuracy and user satisfaction.

Perform thorough manual testing and conversation flow optimization, verifying accuracy of intent detection, entity recognition, and backend integration for enhanced chatbot performance. Drive best practices in conversation design, optimization, and NLP (Natural Language Processing) model tuning for improved response accuracy and user satisfaction. Contribute to and oversee the migration of conversational platforms (e.g., Khoros to DFCX) ensuring smooth transitions, system integrity, and feature parity. Lead and mentor team members in Dialogflow CX design patterns, integration strategies, and GCP tool utilization.

Role Overview: As a Contact Centre Data and AI Architect, your primary responsibility will be to leverage your deep knowledge of Genesys and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. You will play a key role in defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. Collaboration with data architects will be essential to ensure reporting continuity and regulatory compliance. Your role will also involve evaluating and recommending data architectures that minimize the impact on downstream systems ...

About Us Skit.ai is pioneering the new frontier of customer engagement. As a leading Conversational AI company, we are fundamentally transforming the collections industry with our suite of Generative AI-powered voice and message assistants. Our flagship Collection Orchestration Platformthe first of its kindharmonizes communications across all channels, while our proprietary Large Collection Model (LCM) serves as the strategic brain, optimizing every interaction for unparalleled efficiency and customer experience. Our trophy shelf, which includes the BIG AI Excellence Award 2024 and a Stevie Gold Winner for Most Innovative Company, reflects our commitment to innovation. But our true north is ...

As a Senior Data Scientist with expertise in Deep Learning and NLP, you will be responsible for researching, designing, and developing core Artificial Intelligence (AI) and Machine Learning (ML) algorithms. Your essential skills will include working experience with various AI frameworks, such as CRFs, BERT/Transformers, and text summarization models. You should have past experience in Entity Detection and Disambiguation, Intent Detection, and deploying machine learning models in a production environment using tools like TensorFlow Serving. Your role will involve collaborating with functional domain experts, implementation teams, and AI backend teams to ensure efficient product development, p...

As an AI Developer, you will be responsible for developing AI and ML models with a focus on natural language understanding, intent detection, and smart response generation. You will work with Large Language Models (LLMs), including techniques like Retrieval-Augmented Generation (RAG), to construct knowledge-based AI systems. Collaboration with engineering and product teams will be essential to seamlessly integrate AI solutions into real-world applications and platforms. Additionally, you will continuously test, refine, and optimize models for accuracy, performance, and scalability. It is imperative to write clean, maintainable code and adhere to AI development best practices while actively c...

As a Contact Centre Data and AI Architect, you will be responsible for leveraging your deep knowledge of Genesys (including InfoMart, UCS, GAAP, SpeechMiner, WFM, and Routing) and Five9 data ecosystem. Your expertise will be crucial in supporting the migration of contact centers to CCaaS and developing data solutions around this migration. Your role will involve defining a data strategy to migrate historical and real-time data to the cloud while ensuring minimal disruption to downstream systems. You will need to understand data models for Genesys (InfoMart, SpeechMiner) and create mappings to cloud equivalents. Collaboration with data architects will be essential to ensure reporting continui...