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Forward Deployed AI Engineer, Australia (Senior/Principal Level)

🕒 27 days ago
AI/ML ApplicationsFull-stack DevelopmentCustomer EngagementAI Architecture

📜 Description

  • Develop full-stack AI/ML applications to demonstrate enterprise use cases.
  • Collaborate with customer teams to advance AI prototypes to production.
  • Advise on AI architecture, roadmaps, and deployment strategies.
  • Standardize successful patterns into repeatable solutions and playbooks.
  • Mentor teams and contribute to resources enhancing AI capabilities.

🛠️ Requirements

  • 7+ years of experience in building and deploying production-grade systems.
  • 2-4 years of experience with ML systems or GenAI applications.
  • Strong software engineering and applied AI/ML skills.
  • Experience with foundation models and agentic workflows.
  • Deep understanding of LLMOps/MLOps practices.
  • Ability to engage with technical and executive audiences.

Benefits

  • Generous PTO Policy
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
Full job description

Cloudera seeks a seasoned Forward Deployed AI Engineer to design and implement scalable AI/ML solutions, driving AI adoption for strategic enterprise customers.

Description

  • Develop full-stack AI/ML applications to demonstrate enterprise use cases.
  • Collaborate with customer teams to advance AI prototypes to production.
  • Advise on AI architecture, roadmaps, and deployment strategies.
  • Standardize successful patterns into repeatable solutions and playbooks.
  • Mentor teams and contribute to resources enhancing AI capabilities.

Requirements

  • 7+ years of experience in building and deploying production-grade systems.
  • 2-4 years of experience with ML systems or GenAI applications.
  • Strong software engineering and applied AI/ML skills.
  • Experience with foundation models and agentic workflows.
  • Deep understanding of LLMOps/MLOps practices.
  • Ability to engage with technical and executive audiences.

Benefits

  • Generous PTO Policy
  • Flexible WFH Policy
  • Mental & Physical Wellness programs
  • Phone and Internet Reimbursement program
  • Access to Continued Career Development
  • Comprehensive Benefits and Competitive Packages
  • Paid Volunteer Time
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Sr. AI Architect - Future Opportunity

Atlas-Technica👥 201 - 500 employees🏢 Information Technology And Services
🕒 4 days ago

The Senior AI Architect will lead the design of secure AI solutions, guide AI Engineers, and translate business needs into practical AI architectures for financial services clients.

AI ArchitectureMicrosoft AzureMachine LearningData Integration
Thorn

Staff Machine Learning Engineer

Thorn👥 51 - 200 employees🏢 Non-profit Organization Management
🕒 4 days ago

As a Staff Machine Learning Engineer, you will design, build, and maintain advanced machine learning models to combat child sexual exploitation and enhance Thorn's mission.

Machine LearningArtificial IntelligenceComputer VisionNatural Language Processing

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