icare NSW1 follower17 jobs

Machine Learning Engineering Manager

Mid levelSeniorFull-timeHybridNew South Wales, AustraliaPosted 1 week agoVerified 2 days ago
Pending fitX of Y criteria met

About the job

The Machine Learning Engineering Manager serves as the foundational engineering lead within icare’s Data Science and AI function. This exciting opportunity involves establishing robust ML engineering, MLOps, and LLMOps practices that enable secure, reproducible, and reliable deployment of AI systems. The team thrives on collaboration and innovation, fostering an environment where diverse perspectives are valued and everyone can contribute to meaningful outcomes.

You'll be responsible for

📊

Delivering ML and AI models

Deliver data and Machine Learning and AI models that align to the overall technical, data and AI strategy, making trade-offs where appropriate
📈

Designing system metrics

Design ML, LLM and AI system metrics and an implementation and monitoring plan to ensure ML, LLM and AI systems are performant through the lifetime of the system
💡

Driving innovation

Drive innovation by formulating complex business objectives into intelligent and scalable ML, LLM or AI solutions

Key criteria

🔍

8+ years in machine learning engineering

Proven experience in machine learning engineering or operations.

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👥

Team leadership experience

Experience leading or mentoring technical teams effectively.

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☁️

Production deployment experience

Demonstrated experience deploying ML systems in production environments.

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Meet the team

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5 criteria for this job
8+ years in machine learning engineering
Proven experience in machine learning engineering or operations.

View

Team leadership experience
Experience leading or mentoring technical teams effectively.

View

Production deployment experience
Demonstrated experience deploying ML systems in production environments.

View

Cross-functional collaboration
Experience collaborating with diverse technical teams and stakeholders.

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Agile methodology experience
Familiarity with Agile Scrum environments and work tracking tools.

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A meaningful career starts with a match

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