AI Architect - Scalable ML Solutions & MLOps Leader

Pan Asia Group

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

A leading technology firm in Singapore is seeking an experienced AI Architect to design and oversee complex AI and Machine Learning solutions. The role involves creating technical stacks, selecting cloud services like AWS and Azure, and defining MLOps strategies. The ideal candidate has a Master's or Ph.D. in Computer Science with 8+ years of experience, including 3+ years as an ML Architect. This position offers a chance to guide teams in implementing ethical and secure AI practices.

Qualifications

  • 8+ years of experience in software development or data engineering, including 3+ years as an ML or AI Architect.
  • Deep expertise in a major cloud AI platform and related services.
  • Expertise in machine learning algorithms and model deployment.

Responsibilities

  • Design the complete technical stack for AI solutions, including data acquisition and processing pipelines.
  • Evaluate and select appropriate AI/ML frameworks and infrastructure components.
  • Define MLOps practices for CI/CD, monitoring model drift, and ensuring reproducibility.
  • Ensure AI systems adhere to security protocols and ethical AI guidelines.
  • Guide and mentor Data Scientists and ML Engineers on architectural decisions.

Skills

Architectural design
MLOps practices
Data processing pipelines
Cloud services evaluation

Education

Master’s degree or Ph.D. in Computer Science or related field

Tools

AWS SageMaker
Azure ML
GCP Vertex AI
TensorFlow
PyTorch

Job description

A leading technology firm in Singapore is seeking an experienced AI Architect to design and oversee complex AI and Machine Learning solutions. The role involves creating technical stacks, selecting cloud services like AWS and Azure, and defining MLOps strategies. The ideal candidate has a Master's or Ph.D. in Computer Science with 8+ years of experience, including 3+ years as an ML Architect. This position offers a chance to guide teams in implementing ethical and secure AI practices.
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