10+ years relevant technical work experience, at least 3+ developing and implementing Conversational AI. Experience with Conversational AI projects and KoreAI, Intent identification and LLM development along with Business View is an added advantage Telecom or CRM related experience & services or other related industry experience is a plus. Proficiency in programming languages such as Python, Java, or similar languages. Develop and optimize natural language processing (NLP) and understanding (NLU) models to enhance the accuracy and context of user interactions. Implement and improve dialogue management systems to create seamless and contextually relevant conversations. Integrate conversational AI solutions with external systems, APIs, and databases to retrieve and update information as needed. Conduct testing and troubleshooting of conversational AI applications to ensure functionality and performance meet or exceed requirements. Hands-on experience with conversational AI platforms, frameworks, and tools. Solid knowledge of dialogue management, intent recognition, and entity extraction. Experience integrating AI solutions with RESTful APIs and third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilitiesAnalyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured & unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog. Build and maintain data pipelines and infrastructure to support AI Solutions. Desirable:Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters/Bachelors degree in Computer Science or Statistics or Mathematics.Experience on Conversational BOTs and RAG architecturehas context menu
10+ years relevant technical work experience, at least 3+ developing and implementing Conversational AI. Experience with Conversational AI projects and KoreAI, Intent identification and LLM development along with Business View is an added advantage Telecom or CRM related experience & services or other related industry experience is a plus. Proficiency in programming languages such as Python, Java, or similar languages. Develop and optimize natural language processing (NLP) and understanding (NLU) models to enhance the accuracy and context of user interactions. Implement and improve dialogue management systems to create seamless and contextually relevant conversations. Integrate conversational AI solutions with external systems, APIs, and databases to retrieve and update information as needed. Conduct testing and troubleshooting of conversational AI applications to ensure functionality and performance meet or exceed requirements. Hands-on experience with conversational AI platforms, frameworks, and tools. Solid knowledge of dialogue management, intent recognition, and entity extraction. Experience integrating AI solutions with RESTful APIs and third-party services. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities Analyze the features and capabilities of newer versions of the LLM models as they come into market Basic data engineering skills to load structured & unstructured data from source systems to target data stores Work closely with Gen AI leads and other team members to address requirements from the product backlog. Build and maintain data pipelines and infrastructure to support AI Solutions. Desirable:Hands on exposure to using cloud(Azure/GCP/AWS) services for storage, serverless-logic, search, transcription and chat Extensive experience with data engineering and ETL tools is a big plus Masters/Bachelors degree in Computer Science or Statistics or Mathematics. Experience on Conversational BOTs and RAG architecture has context menu