Project Role Description : Provide functional and/or technical expertise to plan, analyze, define and support the delivery of future functional and technical capabilities for an application or group of applications. Assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests.
Must have skills : Google Cloud Platform Architecture
Positive to have skills : Machine Learning (ML), Google Cloud Machine Learning Services, Python (Programming Language)
Minimum 7.5 Year(s) Of Experience Is Required
Educational Qualification : 15 years full time education
Summary:
As an AI/ML Architect you will be responsible for developing applications and systems that utilize AI tools and Cloud AI services. Your typical day will involve applying CCAI/ Google Customer Experience and Gen AI models as part of the solution, utilizing deep learning, neural networks and chatbots. Should have hands-on experience in creating, deploying,
and optimizing chatbots and voice applications using Google Conversational Agents and other tools.
Roles & Responsibilities:
Solutioning and designing CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist, conversational AI.
Design, develop, and maintain intelligent chatbots and voice applications using Google Dialogflow CX.
Integrate Dialogflow agents with various platforms, such as Google Assistant, Facebook Messenger, Slack, and websites. Hands-on experience with IVR integration and telephony systems such as Twilio, Genesys, Avaya
Integrate with IVR systems and Proficiency in webhook setup and API integration.
Develop Dialogflow CX - flows, pages, webhook as well as playbook and integration of tool into playbooks.
Creation of agents in Agent builder and integrating them into end end to pipeline using python.
Apply GenAI-Vertex AI models as part of the solution, utilizing deep learning, neural netwo
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