Role Description :
As an AI / ML Engineer, you will develop applications and systems that leverage AI tools and Cloud AI services, ensuring production-ready quality. Your work will involve implementing generative AI models and applying techniques such as deep learning, neural networks, and chatbots.
Summary :
You will be responsible for :
- Solutioning and designing CCAI applications utilizing Google Cloud Machine Learning Services.
- Integrating chatbot solutions with CCAI and other cloud services.
- Developing CCAI flows, pages, webhooks, and integration into playbooks.
- Creating agents in Agent Builder and integrating them into end-to-end pipelines using Python.
- Applying GenAI-Vertex AI models, including deep learning and image processing.
Roles & Responsibilities :
Design and develop CCAI applications with Google Cloud ML services, including Dialogflow CX and conversational AI.Implement and integrate chatbot solutions within cloud services.Create and manage CCAI flows and webhooks.Develop agents using Agent Builder and ensure seamless pipeline integration.Utilize generative AI models for various applications.Maintain high-quality production-ready cloud application pipelines.Must-Have Skills :
Hands-on experience with CCAI.Understanding of generative AI concepts.Proficiency in Google Cloud Platform Architecture.Good-to-Have Skills :
Cloud Data Architecture knowledge.Cloud ML / PCA / PDE Certification.Strong understanding of AI / ML algorithms and techniques.Experience with prompt engineering, chatbots, and generative AI models.Experience Requirements :
Minimum 5 years of relevant experience in AI / ML.4-7.5 years of specific experience with Google Cloud Machine Learning Services.Overall experience between 7.5 - 9 years.Educational Qualifications :
A total of 15 years of full-time education, preferably in computer science, mathematics, or related fields.Additional Information :
Proven track record of delivering impactful data-driven solutions is preferred.Skills Required
ccai, AI ML