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

๐Ÿ•’ 27 days ago
AI/ML ApplicationsFull-stack DevelopmentSoftware EngineeringData Engineering

๐Ÿ“œ Description

  • Develop full-stack AI/ML applications to demonstrate real enterprise use cases.
  • Collaborate with customer teams to drive AI use cases from prototype to production.
  • Advise on AI roadmaps, solution design, and deployment strategies.
  • Standardize successful patterns into repeatable architectures and solutions.
  • Mentor teams and contribute to resources that enhance AI capabilities.

๐Ÿ› ๏ธ Requirements

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

โœจ 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 within strategic enterprise customers.

Description

  • Develop full-stack AI/ML applications to demonstrate real enterprise use cases.
  • Collaborate with customer teams to drive AI use cases from prototype to production.
  • Advise on AI roadmaps, solution design, and deployment strategies.
  • Standardize successful patterns into repeatable architectures and solutions.
  • Mentor teams and contribute to resources that enhance AI capabilities.

Requirements

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