Principal AI & Data Platform Architect

Jobtailor

Singapore

On-site

SGD 150,000 - 230,000

Full time

14 days+

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Job summary

Jobtailor is seeking a senior data/AI engineer to architect and optimize data foundations for large-scale scientific and engineering outputs. You will shape data models, pipelines, and tooling to enable interactive analysis, automation, and model training across distributed environments.

The role emphasizes end-to-end delivery of production-grade data systems, scalable processing patterns, and robust ML data workflows, with leadership in setting engineering standards and best practices.

Qualifications

  • Bachelor’s or Master’s degree in CS or related engineering field.
  • 10+ years building and shipping production software.
  • Expert Python with end-to-end shipping experience.
  • Experience with large-scale data systems, including object storage, analytics, and training-optimized formats.
  • Experience training or fine-tuning models for structured outputs, tool use, or domain-specific applications.
  • Strong understanding of relational, document, and columnar data models.
  • Cloud, enterprise, and distributed compute environments experience.
  • Ability to set technical direction in ambiguous early-stage environments.

Responsibilities

  • Architect the data foundation for large-scale scientific and engineering output, ensuring results are clean, queryable, and reusable.
  • Model domain-specific scientific data to support interactive analysis, automation, and ML workflows.
  • Build scalable data processing patterns across object storage, analytical stores, and training-optimized formats.
  • Create ML data pipelines for curation, deduplication, formatting, evaluation sets, and regression tracking.
  • Develop training and fine-tuning pipelines for models used in scientific products.
  • Design intelligent workflow interfaces linking user intent, platform capabilities, and executable workflows.
  • Own model evaluation, benchmarking, and automated scoring with measurable iterations.
  • Set data and AI engineering standards and turn them into code, docs, and reusable patterns.

Skills

Python
Data pipelines
Machine learning
Cloud
Production software

Education

Bachelor’s or Master’s degree in CS or related engineering field

Tools

SQL
NoSQL
Docker
Kubernetes

Job description

Jobtailor is seeking a senior data/AI engineer to architect and optimize data foundations for large-scale scientific and engineering outputs. You will shape data models, pipelines, and tooling to enable interactive analysis, automation, and model training across distributed environments.

The role emphasizes end-to-end delivery of production-grade data systems, scalable processing patterns, and robust ML data workflows, with leadership in setting engineering standards and best practices.

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