AI / ML Engineer

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.