Cloud ML Engineer: Conversational AI on Vertex AI

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

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.