Senior Data Scientist

369

Australia
Generative ai and agentic systems experience
Machine learning model design and deployment
Prompt engineering and rag implementation
This role involves reimagining customer service experiences through transformative AI solutions within the Chief Operations Office

Job Summary

  • This role involves reimagining customer service experiences through transformative AI solutions within the Chief Operations Office.
  • The successful candidate will prototype, design, and deploy innovative GenAI and Agentic systems alongside traditional machine learning models.
  • The team offers a flexible workplace with diverse backgrounds and unique perspectives, allowing work from any engineering hub within Australia.

Matching Summary

This role involves reimagining customer service experiences through transformative AI solutions within the Chief Operations Office.

Skills & Requirements

Must-have

  • Generative AI and Agentic systems experience
  • Machine learning model design and deployment
  • Prompt engineering and RAG implementation
  • Python, TensorFlow, PyTorch, and SQL proficiency
  • Cloud architecture on AWS or Azure
  • Docker containerization and CI/CD pipelines

Nice-to-have

  • Cross-functional collaboration with engineers
  • Applied experimentation mindset
  • Continuous applied learning in AI
  • ETL processes and data pipeline construction
  • LangChain and LangGraph tooling

Key Requirements

  • Experience collaborating with software engineers for production-ready AI
  • Expertise in NLP, unsupervised clustering, and classification algorithms
  • Hands-on experience with Spark, Python, R, and data science tools

Work Rights

Not specified

Tailored Resume

Cover Letter