Google Cloud ML Engineer at Cloud Analytics Technologies LLC Dallas, TX
Itlearn360, Dallas, TX, United States
Google Cloud ML Engineer job at Cloud Analytics Technologies LLC. Dallas, TX.
Responsibilities
Architect, design, and develop scalable chat Virtual Agent frameworks using
Google Vertex AI
(Agent Engine, ADK).
Build, customize, and optimize chatbots and conversational flows with
Dialogflow CX/ES
(intent detection, context management, slot filling, rich fulfillment).
Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities (summarization, entity extraction, response generation).
Develop and maintain cloud-native chat Virtual Agent solutions using
GCP services
(CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery).
Train, fine-tune, and deploy custom LLMs, transformer models, and
RAG pipelines
.
Implement
MLOps best practices
(Vertex AI Pipelines, Docker, Kubernetes, CI/CD workflows).
Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.
Required Qualifications
6+ years in software development (4+ years in NLP/NLU for chat).
Advanced
Python
skills 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.
Strong MLOps knowledge (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.
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 conversational AI.
Soft Skills
Excellent communication and collaboration.
Strong ownership and end-to-end project delivery.
Leadership in cross-functional environments.
Team leading and management skills.
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Responsibilities
Architect, design, and develop scalable chat Virtual Agent frameworks using
Google Vertex AI
(Agent Engine, ADK).
Build, customize, and optimize chatbots and conversational flows with
Dialogflow CX/ES
(intent detection, context management, slot filling, rich fulfillment).
Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities (summarization, entity extraction, response generation).
Develop and maintain cloud-native chat Virtual Agent solutions using
GCP services
(CCAI, Pub/Sub, Cloud Functions, Cloud Run, Cloud Storage, BigQuery).
Train, fine-tune, and deploy custom LLMs, transformer models, and
RAG pipelines
.
Implement
MLOps best practices
(Vertex AI Pipelines, Docker, Kubernetes, CI/CD workflows).
Develop REST APIs, gRPC, and JSON-based integrations for seamless system communication.
Required Qualifications
6+ years in software development (4+ years in NLP/NLU for chat).
Advanced
Python
skills 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.
Strong MLOps knowledge (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.
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 conversational AI.
Soft Skills
Excellent communication and collaboration.
Strong ownership and end-to-end project delivery.
Leadership in cross-functional environments.
Team leading and management skills.
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