Google Cloud ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 124,000 - 207,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX seeks a Google Cloud ML Engineer to architect scalable Vertex AI-based chat frameworks and optimize conversational flows. You will apply NLP/GenAI models, train and deploy custom LLMs, and build cloud-native solutions using GCP services.

Responsibilities include developing REST APIs and gRPC services, implementing MLOps, and coordinating with cross-functional teams on AI-driven conversations. 10-month+ extension potential, DOE hourly rate.

Qualifications

• 6+ years in software development with 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.

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.
• Apply NLP, LLM, and GenAI models on Vertex AI for advanced chatbot capabilities.
• Develop and maintain cloud-native chat Virtual Agent solutions using GCP services (CCAI, Pub/Sub, Cloud Functions).
• 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.

Skills

Python

NLP/LLM

Vertex AI

Dialogflow CX/ES

MLOps

Docker/Kubernetes

CI/CD

Git

Education

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

Tools

Vertex AI

Dialogflow CX/ES

Docker

Kubernetes

CI/CD

Git

BigQuery

Job description

Job Overview

• Job ID: J52565
• Job Title: Google Cloud ML Engineer
• Location: Dallas, TX
• Duration: 10 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

Job 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.

Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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