Candidate
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ML Engineer — NLP, Evaluation, and Safety
Seed
NLP/LLM in production—safety, eval, and the boring monitoring that keeps models from silently drifting bad.
General
Tagline
NLP/LLM in production—safety, eval, and the boring monitoring that keeps models from silently drifting bad.Summary
At a glance
Focus: NLP/LLM in production—safety, eval, and the boring monitoring that keeps models from silently drifting bad.
Selected wins
- Set up a human+auto eval loop; caught regressions before a broad rollout twice in one year
- Tightened PII handling: redact before log, and schema checks on every batch job
What I want next
A role with clear guardrails and executive patience for the hard parts, not a launch-at-all-costs shop.
Profile for portal demo. Contact via example.org links only.
Expertise
Skills
PythonNLPEvalPII
Experience
LeadPreferences
Preferred work mode
HybridLocation
Sydney, Australia
Contact
Contact email
candidate-seed08@example.comDemo seed
job-portal-seed-v1
6. Mai 2026 — sample only, not a real person
Candidate