5 дней назад
Principal AI Engineer and Technical Lead (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal AI Engineer and Technical Lead (AI): Building production-grade AI systems, data pipelines, causal models, and optimization engines for a regulated gaming and entertainment client with an accent on cloud data platforms, experimentation, and responsible-use controls. Focus on leading technical architecture and delivery, developing uplift and recommendation models, solving large-scale optimization problems, and translating complex systems for executive stakeholders.
Location: Melbourne preferred; candidates elsewhere in Australia considered. Exceptional candidates may be considered within about two hours of Australian Eastern Time. Regular on-site presence at client locations is required.
Company
is a boutique data and AI consultancy delivering data platforms, analytics, machine-learning, and AI agent solutions for mid-market and enterprise clients.
What you will do
- Own technical architecture and end-to-end delivery across data foundations, machine-learning models, optimization, and validation evidence.
- Act as the technical face of client engagements, leading methodology reviews, steering sessions, and executive readouts.
- Lead a pod of machine-learning and data engineers while setting standards for code review, testing, reproducibility, and documentation.
- Build and operate large-scale production data pipelines on Google Cloud Platform and BigQuery across billions of rows.
- Design and validate propensity, uplift, visitation-frequency, offer-adoption, forecasting, and optimization models.
- Apply causal inference, experimentation, mixed-integer and linear programming, assignment methods, and scheduling techniques in production.
Requirements
- 10+ years of experience building and shipping production data and machine-learning systems, including technical or team leadership.
- Deep hands-on Python and SQL experience with production data engineering on a major cloud platform.
- Experience with causal inference, uplift modeling, difference-in-differences, double machine learning, holdout design, experimentation, and power analysis.
- Experience with mathematical optimization, including mixed-integer or linear programming and assignment or scheduling problems.
- Client-facing delivery experience with the ability to communicate with senior executives and external delivery partners.
- Must have the right to work in Australia or be based within about two hours of Australian Eastern Time.
Nice to have
- Experience with agentic workflows, LLM integration, recommendation systems, or marketing and offer optimization.
- Gaming, casino, hospitality, loyalty, workforce optimization, or responsible-gaming experience.
- Experience with vendor integrations, anti-money-laundering, privacy-by-design, consulting, or client-embedded delivery.
Culture & Benefits
- Flexible hybrid working arrangements around the engagement's on-site requirements.
- Lead role on a high-visibility engagement with direct access to client executives and senior stakeholders.
- Opportunity to establish the founding technical presence for in Australia.
- Competitive compensation with a performance-based bonus.
- Professional development budget and certification support.
Hiring process
- Submit a resume and application materials in English.
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