Integration Engineer, you will play a pivotal role in leading integrations with our industry-leading cognitive Coordinate closely with internal sales, support, and service resources, communicating project status and success knowledge in classification models, supervised training, Logistic Regression, Passive Aggressive classifier
hybrid future with Conversational AI. With their industry-leading AI solutions, we empower companies worldwide suppliers, and partners. Your mission will be to train their Conversational AI to be a digital employee Collaborate with high-profile clients across industries to understand business processes and customer humanizes Conversational AI interactions. Assist in training various aspects of Conversational AI to improve language understanding. Work closely with cognitive engineers to refine conversation flow and suggest process
Collaborate with cross-functional teams to develop well-engineered, tested, and documented software libraries and Provide architectural designs and guidance to engineers for implementing use cases. Manage code promotion notes to clients. Develop shell scripts to assist engineers in log error analysis across multiple nodes. Act collaborating with client IT teams. Gather client training requirements for post-rollout platform operation direction for subsequent work streams. Prepare training materials for client capability building and platform
adoption of our conversational AI technologies and services. The ideal candidate will possess a unique blend engage with top-tier executives as well as IT engineers. In this role, you will play a pivotal part in time. Serve as a subject matter expert in IPsoft services and project delivery. Facilitate internal and project management. Formal project management training and experience with Project Level Reporting are
You will play a crucial role in training their Conversational AI to understand user inputs effectively responsibilities will include managing the processes of training, testing, and optimizing our Conversational AI's dynamic field. NLU Training, Testing, and Optimization: Manage the processes of training, testing, and optimizing creating, curating, and analyzing datasets and training machine learning models within the Conversational
business needs and objectives. Stay up-to-date with industry trends, best practices, and emerging technologies environment, preferably within the contact centre industry. Strong understanding of business processes and