Job Description
Permanent | Melbourne | Hybrid
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nStaff Engineer - ML/AI n
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We're working with a major product company looking for a hands-on Staff Engineer to provide technical leadership across its growing
ML, MLOps and Generative AI
capability.
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This is a senior individual contributor role with no people management. You'll work across different engineering teams, helping set technical direction while remaining close to the technology and delivery.
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nWhat you'll be working on n
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Building and evolving MLOps capabilities across feature stores, model lifecycle, drift detection, monitoring and observability.
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Designing production GenAI applications, LLM pipelines, agentic workflows and guardrails.
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Setting engineering patterns and helping shape the technical roadmap across ML and AI.
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Providing technical leadership and influencing senior and Principal Engineers.
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Working on established AI products already delivering measurable improvements to customer and internal workflows.
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nWhat we're looking for n
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You'll ideally come from either a software engineering background with strong ML/AI experience, or a data science/ML background that has evolved into production engineering.
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We're particularly interested in experience across:
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Production ML and MLOps.
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GenAI, LLM workflows and AI agents.
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Strong software engineering fundamentals.
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Model monitoring, observability and lifecycle management.
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Databricks, AWS, SageMaker, Snowflake, Azure or similar platforms.
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Technical leadership without moving away from hands-on engineering.
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The setting is primarily Databricks and AWS, although exact tool matching isn't essential. Strong engineering and ML/AI fundamentals matter more.
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This would suit someone who wants to remain deeply technical while having genuine ownership over how ML and AI solutions are designed and delivered.
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