Lead AI/ML Engineer – Production AI & MLOps

Australian Signals Directorate; Canberra; On-site; AUD 120,000 - 180,000; Full time

Job summary

Australian Signals Directorate in Canberra is searching for AI/ML Engineers to deploy, monitor, and improve production AI systems within the MD division. You will help develop and maintain ASD’s Enterprise MLOps Platform and support diverse users across teams.

You will collaborate with data scientists to ensure models are performant and stable for production, and you may lead efforts with other engineering teams to integrate AI services and optimise ML code.

Qualifications

• Experience deploying AI/ML models to production environments.
• Experience developing and maintaining an Enterprise MLOps Platform.
• Ability to support users and integrate services with existing systems.
• Experience collaborating with data scientists on ML models.

Responsibilities

• Deploy, monitor, and troubleshoot AI models under direction for ASD 4 & 5.
• Develop and maintain ASD’s in‑house Enterprise MLOps Platform under direction.
• Provide support to users and assist other engineers integrating with ASD services.
• Work with data scientists to ensure ML models are performant and production‑ready.
• Independently deploy, monitor, and troubleshoot AI models for ASD 6.
• Independently develop and maintain ASD’s in‑house Enterprise MLOps Platform.
• Lead design of technical systems and supervise junior staff.
• Lead engagements with other engineering teams to integrate with ASD AI services.
• Review and optimise production ML code.

Skills

AI/ML deployment

MLOps platform

Collaboration with data scientists

Job description

Australian Signals Directorate in Canberra is searching for AI/ML Engineers to deploy, monitor, and improve production AI systems within the MD division. You will help develop and maintain ASD’s Enterprise MLOps Platform and support diverse users across teams.

You will collaborate with data scientists to ensure models are performant and stable for production, and you may lead efforts with other engineering teams to integrate AI services and optimise ML code.