Google Cloud ML Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Dallas (TX); On-site; USD 120,000 - 160,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX seeks a Google Cloud ML Engineer to architect and implement scalable chat Virtual Agent frameworks using Vertex AI. You will design chatbot flows with Dialogflow CX/ES and deploy GenAI models for advanced capabilities.

Required 6+ years in software with NLP/NLU for chat, strong Python and ML library expertise, and solid experience with GCP, MLOps, and cloud-native architectures. This is a contract role with W-2/1099/C2C options.

Qualifications

• 6+ years in software development with 4+ years in NLP/NLU for chat.
• Advanced Python with ML/NLP libraries (Hugging Face, TF, PyTorch).
• Proven success building conversational agents with Vertex AI and Dialogflow CX/ES.

Responsibilities

• Architect, design, and develop scalable chat Virtual Agent frameworks using Google Vertex AI.
• 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.
• Train, fine-tune, and deploy custom LLMs and RAG pipelines.
• Implement MLOps practices (Vertex AI Pipelines, Docker, Kubernetes, CI/CD).
• Develop REST APIs, gRPC, and JSON-based integrations.

Skills

NLP/NLU

Python

ML frameworks

GCP / Vertex AI

MLOps

Dialogflow

REST APIs

Kubernetes

Education

Master’s/PhD in CS/AI/ML

Tools

Vertex AI

Dialogflow CX/ES

Docker

Kubernetes

CI/CD

Git

Pub/Sub

BigQuery

Job description

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

• 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.

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

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