Google Cloud ML Engineer
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Job Location:
Dallas, IA - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
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
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 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 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 GCP services and cloud-native architectures.
Solid MLOps understanding (Docker Kubernetes CI/CD Git). Experience with Agent Assist functionality is a plus.
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 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 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 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.
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.
Best Regards
Tarun K
Phone: 1-
Email:
Tarun K
Phone: 1-
Email:
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