Data Centric Innovator

2 weeks ago

Melbourne, Victoria, Australia beBeeEngineering Full time $120,000 - $170,000
AI Engineering Lead

We are a high-performing team within the industry, constantly involved in game-changing solutions.

You will be part of an innovative environment with like-minded individuals who share your passion for creating lasting and impactful technology.

Towards this goal, we maintain the fraud detection and reporting functions for the Group, supporting the operations of Group Security.

As an AI Engineering Lead, you'll contribute to strategic initiatives like improving the standards of Fraud & Scam Analytics, AI-powered engineering, and reliability uplift.

You'll work alongside top collaborators to solve our customers' most complex data-centric problems, blending platform engineering and software engineering with a strong AI mindset and AI Ops capabilities.

This role requires designing, building, and evolving applications, tooling, and automation that empower product teams to deliver customer value with speed, safety, and reliability.

Key responsibilities include:

  • Building secure, scalable, and self-service platforms using Infrastructure-as-Code and cloud-native services.
  • Developing standardised tooling for deployment, monitoring, and operations.
  • Continuously evolving platform capabilities to embrace new technologies and improve developer experience.
  • Designing and implementing scalable, end-to-end ML systems including data pipelines, model training infrastructure, and production serving platforms.
  • Establishing robust MLOps practices.
  • Collaborating with data scientists, product teams, and infrastructure engineers to translate ML research into production systems.
  • Embedding AI-powered engineering tools into platform and reliability workflows.
  • Leveraging Gen AI and agentic frameworks to automate diagnostics, remediation, and service management.
  • Driving adoption of AI tools across squads.
  • Influencing architecture and design decisions with a focus on operability, automation, and AI integration.
  • Partnering with squads to uplift DevSecOps maturity and reduce toil through intelligent automation, observability, and CICD.

Tech Skills & Experience:

  • Strong coding skills in Python, Go, or similar languages.
  • Deep experience with AWS, CI/CD, ML, and Infrastructure-as-Code.
  • Proven track record in platform engineering, cloud infrastructure, and reliability practices.
  • Familiarity with AI tools, frameworks, and AIOps platforms.

We support our people with flexibility to balance work done with at least half their time each month connecting in office. Our people bring diverse backgrounds and unique perspectives to build a respectful, inclusive, and flexible workplace.

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