Google Cloud ML Engineer
QUANTUM TECHNOLOGIES LLC· Oct 5, 2026 · 23d ago
Dallas, TX
In office
Full-time
Senior
$140K–$198K est.
6+ years exp
Job description
body>
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
View All Jobs
Similar Jobs
•
Google Cloud Platform Cloud Integration Engineer - Dallas, TX
•
Sr. Google Cloud Platform Data engineer /Google Cloud Platform Architect - Atlanta, GA
•
Google Cloud Platform Architect - Richmond, VA
•
Cloud Architect- Multi Cloud AWS, Azure, Google Cloud Platform - Atlanta, GA
•
Cloud Architect- Multi Cloud AWS, Azure, Google Cloud Platform - Atlanta, GA
• 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.
Apply Now
Equal Opportunity Employer
QUANTUM 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. QUANTUM 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 QUANTUM 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
Application prep
Use the role’s language and application details while tailoring your materials.
Keywords to mirror
mlawsazureaillmgcpdockerkubernetesci/cdrestpython
- Platform
- careers-html
- Effort
- medium