Job Description

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

Location: Dallas, TX (Day1 Onsite) Need Locals

Duration: Long Term Contract

Looking for W2 Candidates. No C2C

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 chat bots and conversational flows with Dialog flow 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 Gen AI models on Vertex AI to enhance chat bot 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 Google Cloud Platform 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 ML Ops best practices for Chat bot 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, Tensor Flow, Py Torch).
Proven success building conversational agents with Vertex AI and Dialog flow CX/ES.
Proficiency in Google Cloud Platform services and cloud-native architectures.
Solid MLOps understanding (Docker, Kubernetes, CI/CD, Git). Experience with Agent Assist functionality is a plus.

Preferred Qualifications:
Master's/PhD in Computer Science, AI/ML, or related field. Google Cloud Platform 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.

Best Regards,
Phone:
Email:

Job Tags

Long term contract, Local area,

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