Cloud ML Engineer — Vertex AI & Conversational AI

Ethereum Technologies LLC

Dallas (TX)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading tech company is seeking an experienced professional to architect and develop scalable chat Virtual Agent frameworks. You will utilize Google Vertex AI, Dialogflow CX/ES, and advanced machine learning techniques. The ideal candidate has over 6 years in software development, particularly in NLP and conversational agents, alongside strong Python skills. Positions are based in Dallas, TX, offering competitive benefits and an inclusive workplace environment.

Qualifications

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

Responsibilities

  • Architect, design, and develop scalable chat Virtual Agent frameworks.
  • Build, customize, and optimize chatbots and conversational flows.
  • 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 transformer models.

Skills

Python
Google Vertex AI
Dialogflow CX/ES
Machine Learning
Natural Language Processing
TensorFlow
PyTorch
GCP Services

Education

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

Tools

Hugging Face
Cloud Functions
BigQuery

Job description

A leading tech company is seeking an experienced professional to architect and develop scalable chat Virtual Agent frameworks. You will utilize Google Vertex AI, Dialogflow CX/ES, and advanced machine learning techniques. The ideal candidate has over 6 years in software development, particularly in NLP and conversational agents, alongside strong Python skills. Positions are based in Dallas, TX, offering competitive benefits and an inclusive workplace environment.
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