Project Role : Custom Software Engineer Project Role Description : Design, build and configure applications to meet business process and application requirements.

Must have skills : Google Cloud Machine Learning Services Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AI/ML Engineer, 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 GenAI models as part of the solution, utilizing deep learning, neural networks and chatbots.

Roles &

Responsibilities: Design and develop CCAI applications and systems utilizing Google Cloud Machine Learning Services, dialogue flow CX, agent assist. Develop and implement chatbot solutions that integrate seamlessly with CCAI and other Cloud services 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.

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GenAI Vertex AI models as part of the solution, utilizing deep learning, neural networks, chatbots, and image processing. Work with Google Vertex AI for building, training and deploying custom AI models to enhance chatbot capabilities Implement and integrate backend services using Google Cloud Functions or other APIs to fulfill user queries and actions. Document technical designs, processes, and setup for various integrations.

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 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 5 years of relevant experience and Proficient in Google Cloud Machine Learning Services/ CCAI/Dialogflow CX/Gemini Enterprise Cx/Google Customer experience. The ideal candidate will possess a robust educational background in computer science, mathematics, or a related field, along with a proven track record of delivering impactful data-driven solutions.

📌 Custom Software Engineer (Coimbatore)
🏢 Accenture in India
📍 Coimbatore