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Xero · Sydney

Senior Engineer – ML Systems (AI Products)

Newly verified ML-systems opening joining distributed production engineering with LLM product delivery.

ai ml engineeragent genai engineer
stretch78opportunity score
Hard-constraint gateVerify before applying
  • work authorizationAustralia work rights or sponsorship

    Confirm eligibility with the recruiter before extensive tailoring.

JD snapshot

Responsibilities

  • Design production AI infrastructure
  • Move applied-science models safely into products

Requirements

  • Production Python
  • Distributed systems and SQL
  • LLM product integration
  • ML frameworks and orchestration
Compensation: not stated

The employer did not state compensation. No estimate is presented as official.

Explainable score · 2026-08-v1

Why this score?

78/100
Candidate fit35%78
JD evidence

Production Python

Distributed systems and SQL

LLM product integration

Candidate proof

Documented ML project

Time-series portfolio evidence

Gaps

ML frameworks and orchestration

Career upside20%86
JD evidence

Research-to-production scope

Candidate proof

Research-to-industry portfolio

Gaps

None material

Compensation10%70
JD evidence
Candidate proof
Gaps

Employer compensation not stated

Actionability20%72
JD evidence

Official source captured

Candidate proof

Targeted CV draft available

Gaps

Australia work rights or sponsorship

Personal factors15%82
JD evidence
Candidate proof

English-working market preference

Gaps

None material

Source confidence 96%Explanation coverage 95%