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6 дней назад

Applied AI Specialist (AI Engineering)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
Australia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Applied AI Specialist (AI Engineering): Identifying and validating high-impact private AI use cases for large enterprises with an accent on technical discovery, feasibility assessment, and PoC development. Focus on bridging the gap between AI experimentation and production deployment by designing engineering blueprints and collaborating with strategic partners like NVIDIA.

Location: Sydney, Australia (Flexible WFH Policy)

Company

hirify.global provides an enterprise data platform that empowers organizations to transform complex data into actionable insights using open source innovation.

What you will do

  • Lead highly technical AI discovery workshops in partnership with strategic providers like NVIDIA.
  • Conduct deep technical and business discovery to identify production-ready AI workloads.
  • Evaluate enterprise AI readiness, including data architecture, security, governance, and infrastructure constraints.
  • Build lightweight proofs of concept (PoCs), reference architectures, and technical demonstrations.
  • Translate qualified opportunities into clear technical requirements and architectural blueprints for engineering teams.
  • Document and scale successful AI implementation patterns across different customer segments and industries.

Requirements

  • Strong technical foundation in data science with proficiency in Python, APIs, and development frameworks.
  • Practical experience building AI applications across ML, deep learning, computer vision, and generative AI.
  • Proven success in technical pre-sales, solution architecture, or consulting for complex enterprise initiatives.
  • Ability to assess data quality, governance, compliance, and operational readiness.
  • Exceptional communication skills for engaging both technical experts and executive audiences.
  • Experience with MLOps and cloud-native architectures.

Nice to have

  • Experience with NVIDIA AI Enterprise, NIMs, NeMo, or RAPIDs.
  • Proven track record of moving AI projects from proof of concept into production environments.
  • Familiarity with hybrid cloud architectures and enterprise data governance frameworks.

Culture & Benefits

  • Flexible WFH policy and dedicated "Unplugged Days" to support work-life balance.
  • Generous PTO and paid volunteer time.
  • Dedicated Global Workshop Platform Engineer to handle environment setup and management.
  • Mental and physical wellness programs.
  • Phone and internet reimbursement program.
  • Access to continued career development in a high-impact, practitioner-led organization.

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