Job
Description
Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Google Cloud Platform Architecture Good to have skills : Google Cloud Machine Learning Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary: We are seeking a highly skilled and visionary AI/ML Manager to lead the development of advanced AI-driven applications and solutions using Google Cloud's Conversational AI (CCAI) platform and Gen AI models. In this role, you will architect, design, and deploy scalable AI solutions that leverage deep learning, neural networks, and advanced chatbot/voice bot technologies. You should have strong hands-on experience in building and optimizing conversational experiences using Google Dialogflow CX, Agent Assist, and other Google Cloud AI services. Roles & Responsibilities: - Lead end-to-end solutioning, design, and implementation of AI/ML-powered applications using Google CCAI tools and GCP services. - Architect scalable conversational AI solutions including chatbots and voice bots using Dialogflow CX, Agent Assist, and Gen AI APIs. - Collaborate with cross-functional teams including UX, data science, and engineering to deliver impactful AI products. - Drive innovation by integrating advanced models such as LLMs, NLP, and neural networks to elevate conversational capabilities. - Oversee performance tuning, testing, and optimization of AI solutions in real-world production environments. - Stay current with Google AI/ML advancements and incorporate best practices into the solution lifecycle. - Proven experience in designing and deploying AI/ML and conversational AI systems on Google Cloud Platform. - Expertise in Dialogflow CX, Agent Assist, and other CCAI tools. - Solid understanding of Gen AI technologies, NLP techniques, and machine learning frameworks. - Strong architecture and solution design experience within GCP ecosystem. - Hands-on experience in building and optimizing production-ready chatbots and voice applications. - Excellent problem-solving, communication, and leadership skills. - Experience with programming languages such as Python/Node.js Professional & Technical Skills: Must To Have Skills: CCAI/Dialogflow CX hands on experience and generative AI understanding. Good To Have Skills: Cloud Data Architecture, Cloud ML/PCA/PDE Certification, Strong understanding of AI/ML algorithms, NLP and techniques. Experience with chatbot, generative AI models, prompt Engineering. Experience with cloud or on-prem application pipeline with production-ready quality. Additional Information: - The candidate should have a minimum of 15+ years of experience in Google Cloud Machine Learning Services/Gen AI/Vertex AI/CCAI. - The ideal candidate will possess a strong educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions. - A 15 year full time education is required 15 years full time education
