Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Dallas, IA - USA

Monthly Salary: Not Disclosed

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Job Title : Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

Location : Dallas TX ( Onsite)

Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert

About the Role:

We seek an experienced developer to design build and deploy advanced conversational AI solutions on Google Cloud. You will leverage Vertex AI CCAI and Dialogflow to create intelligent scalable chatbots that enhance digital customer engagement.

Key Responsibilities:

Experience architecting designing and developing scalable chat Virtual Agent frameworks using Google Vertex AI with proficiency in Vertex AI Agent Engine and Google Agent Development Kit (ADK).
Expertise in building customizing and optimizing chatbots and conversational flows with Dialogflow CX/ES including implementation of advanced intent detection context management slot filling and rich fulfillment.
Demonstrated ability to leverage state-of-the-art NLP LLM and GenAI models on Vertex AI to enhance chatbot capabilities such as complex intent handling summarization entity extraction and response generation.
Hands-on experience building and maintaining cloud-native chat Virtual Agent solutions using GCP services including CCAI Vertex AI Pub/Sub Cloud Functions Cloud Run Cloud Storage and BigQuery for real-time data processing analytics and reporting.
Proficiency in training fine-tuning and deploying custom LLMs transformer models and Retrieval Augmented Generation (RAG) pipelines to advance chat Virtual Agent intelligence.
Solid understanding and practical application of MLOps best practices for chatbot pipelines including automation of training deployment testing monitoring and versioning with Vertex AI Pipelines Docker Kubernetes and CI/CD workflows.
Strong experience developing REST APIs gRPC and JSON-based communication for seamless system integration.

Required Qualifications:

6 years in software development (4 in NLP/NLU for chat).
Advanced Python skills; experience with ML/NLP libraries (Hugging Face TensorFlow PyTorch).
Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.
Proficiency in GCP services and cloud-native architectures.
Solid MLOps understanding (Docker Kubernetes CI/CD Git).
Experience with Agent Assist functionality is a plus.

Preferred Qualifications:

Masters/PhD in Computer Science AI/ML or related field.
GCP certifications (e.g. Google Cloud Certified Professional ML Engineer).
Experience with GenAI frameworks (PaLM Gemini).
Integration with CRM knowledge bases and live agent systems.
Knowledge of security and compliance in chat AI.

Soft Skills:

Excellent communication and collaboration.
Strong ownership and end-to-end project delivery.
Leadership in cross-functional environments.
Team Leading and Management.

The pay range for this role is $130k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical vision dental life disability insurance and paid time off (including holidays parental leave and sick leave as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level educational qualifications experience and location of the candidate.

Job Title : Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert Location : Dallas TX ( Onsite) Role: Google Cloud ML Engineer- Vertex AI & CCAI Chat Virtual Agent Expert About the Role: We seek an experienced developer to design build and deploy advanced conversational AI solutio...