Job Description
An early-stage AI business, growing quick, hybrid in Melbourne.
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You'd be one of the most senior technical hires on the team, working directly with leadership rather than through layers of management. The mandate is to take ownership of production AI/ML systems that run against real operational data, not synthetic data in a lab, and to be the technical point of contact when a client's own operations team hits a problem.
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What you'll own
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AI/ML systems built and deployed at scale, through to production, not prototypes that stop at a demo
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Current client engagements where the operations team depends on your system working correctly, not just performing well in a demo
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What ships, what doesn't, and how it's monitored once it's live
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Systems built against data where the trust bar to get access is high and the output has to hold up once it's in the field
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What you'll bring
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Seven-plus years, hands-on. You're still the one writing and shipping the code
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Time in an industrial, energy or manufacturing environment,



enough to know what operational data looks like once it leaves the spreadsheet
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Python and SQL as a given, Azure preferred, a track record of getting models into production and keeping them there
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The confidence to sit across from a client's operations team without someone more senior in the room
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What's on offer
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Direct access to the leadership team, no layer in between
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Equity, offered to the right hire after the standard probation period
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Hybrid, Melbourne-based. Open to Sydney and elsewhere in Australia for the right person
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Salary dependent on experience
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Small team, real ownership, and problems that run on physical operations rather than a dashboard. Worth a conversation if that's the kind of mandate you're after.
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We welcome applications and referrals from people of all backgrounds and will be in touch with suitable candidates as soon as possible.

📌 Senior Ai Engineer (Victoria)
🏢 INNOVA SEARCH
📍 Victoria