Google Cloud ML Engineer Job at Cloud Analytics Technologies LLC, Dallas, TX

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  • Cloud Analytics Technologies LLC
  • Dallas, TX

Job Description

  • 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.

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