Platform And Capability Lead - Ml

AGL Energy

Docklands, VIC, Australia
Not specified; not specified; flexible working, st...
Hybrid
Ai/mlops frameworks and tooling
Azure cloud native ai/ml stacks
Model lifecycle governance and deployment
AGL Energy is seeking a Platform and Capability Lead for their machine learning operations, focusing on the development, deployment, and management of AI/ML platforms. The role involves leading a team to enhance AGL’s AI/ML capabilities while promoting a culture of inclusivity and innovation within the organization

Job Summary

  • This role is responsible for owning AGL's end-to-end machine learning operations and platform capabilities to drive the industrialisation of AI.
  • The successful candidate will lead a high-performing team of ML and MLOps Engineers while managing platform reliability KPIs and FinOps.
  • AGL offers flexible working options, discounted energy plans, and comprehensive wellbeing programs including paid parental leave and recharge days.

Matching Summary

Match Score: 85

AGL Energy is seeking a Platform and Capability Lead for their machine learning operations, focusing on the development, deployment, and management of AI/ML platforms. The role involves leading a team to enhance AGL’s AI/ML capabilities while promoting a culture of inclusivity and innovation within the organization.

Salary

Not specified; Not specified; Flexible working, staff discounts, 20 weeks paid parental leave, Recharge Leave, Share Reward plan

Skills & Requirements

Must-have

  • AI/MLOps frameworks and tooling
  • Azure cloud native AI/ML stacks
  • Model lifecycle governance and deployment
  • Containerisation and microservices architecture
  • Platform FinOps and cost optimisation

Nice-to-have

  • Experience with MCP and Langchain
  • Strong collaboration across data science teams
  • Passion for sustainable energy innovation
  • Agile delivery and continuous improvement
  • Inclusive and respectful culture values

Key Requirements

  • Demonstrated experience in AI/MLOps or Machine Learning Engineering
  • Hands-on expertise with MLflow, CI/CD, and observability tools
  • Proven ability to influence cross-functional engineering and product teams

Work Rights

Not specified

Tailored Resume

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