Data Scientist Senior Staff

Crystallakebank

Not specified; not specified; flexible working opt...
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Generative ai and multi-agent system design
Rag pipelines and vector database implementation
Mlops and devsecops ci/cd expertise
** Crystallakebank is seeking a Senior Staff Data Scientist to join their advanced Data Science practice, focusing on developing AI solutions for the Business Bank. The ideal candidate will have extensive experience in Generative AI technologies, machine learning systems, and a passion for mentoring and collaboration in a dynamic environment. **

Job Summary

  • This role involves developing state-of-the-art Data Science models to transform Business Banking across Australia using Generative AI.
  • The team focuses on delivering customer-obsessed AI solutions that provide critical productivity yields for bankers and exceptional value for customers.
  • Candidates are expected to lead cross-functional squads, mentor talent, and shape technical roadmaps for emerging Gen AI technologies.

Matching Summary

Match Score: 75

** Crystallakebank is seeking a Senior Staff Data Scientist to join their advanced Data Science practice, focusing on developing AI solutions for the Business Bank. The ideal candidate will have extensive experience in Generative AI technologies, machine learning systems, and a passion for mentoring and collaboration in a dynamic environment. **

Salary

Not specified; Not specified; Flexible working options available

Skills & Requirements

Must-have

  • Generative AI and Multi-Agent System Design
  • RAG Pipelines and Vector Database Implementation
  • MLOps and DevSecOps CI/CD Expertise
  • Cloud-Native GenAI Services (AWS/Azure)
  • Responsible AI and Model Governance
  • Statistical Control and Performance Estimation

Nice-to-have

  • Passion for coaching junior team members
  • Strong growth mindset and curiosity
  • Published research or open-source contributions
  • Experience with Github Copilot best practices
  • Ability to influence senior stakeholders

Key Requirements

  • Proven delivery of RAG pipelines
  • Expertise in architecting multi-agent ecosystems
  • Strong MLOps and container orchestration skills
  • Domain depth in banking use-cases
  • Track record of leading cross-functional teams

Work Rights

Not specified

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