Google Cloud ML Engineer

Cloud Analytics Technologies, LLC; Dallas (TX); On-site; USD 100,000 - 130,000; Full time

Job summary

A technology solutions provider is seeking a qualified individual to architect and develop scalable chat Virtual Agent frameworks using advanced technologies like Google Vertex AI and Dialogflow. The ideal candidate will have over six years of software development experience, particularly in NLP/NLU for chat applications. Excellent Python skills and familiarity with cloud-native architectures are essential, along with a strong ability to collaborate in cross-functional teams. This role is an excellent opportunity to leverage cutting-edge AI technologies.

Qualifications

• 6+ years in software development, specifically 4+ years in NLP/NLU for chat.
• Advanced skills in Python with experience in ML/NLP libraries.
• Proven success with building conversational agents using Vertex AI and Dialogflow.
• Proficiency in GCP services and cloud-native architectures.

Responsibilities

• Architect, design, and develop chat Virtual Agent frameworks.
• Build and optimize chatbots and conversational flows.
• Develop and maintain cloud-native chat solutions using GCP services.
• Train and deploy custom LLMs and transformer models.

Skills

Software Development

Natural Language Processing (NLP)

Python

GCP Services

Machine Learning

Education

Master’s/PhD in Computer Science, AI/ML, or related field

Tools

Google Vertex AI

Dialogflow CX/ES

Hugging Face

TensorFlow

PyTorch

Job description

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.
• 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.
• 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.

CLOUD ANALYTICS TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. CLOUD ANALYTICS TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will CLOUD ANALYTICS TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract