Senior AI Data Platform Engineer

Xora Innovation; Singapore; Hybrid; SGD 180,000 - 280,000; Full time

Job summary

Elemynt is building a small, ambitious engineering team across Singapore and the United States to turn advanced scientific computing into production software that real technical teams can use.

The role owns the data and AI engineering foundation, defining core data models, training pipelines, evaluation systems, and intelligent workflow interfaces, then proving those patterns in production code. This is a hands-on principal position to set technical direction and also build the hardest parts.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related engineering field.
• 10+ years building and shipping production software.
• Expert Python and a strong record of shipping systems end to end.
• Deep experience with large scale data systems, including object storage, analytics processing, training optimized formats, and production data pipelines.
• Hands on experience building data pipelines for model training, fine tuning, evaluation, and continuous improvement.

Responsibilities

• Architect the data foundation for large scale scientific and engineering output, keeping results clean, queryable, reusable, and ready for model training.
• Model domain specific scientific data so the same datasets can support interactive analysis, automation, and downstream machine learning workflows.
• Build scalable data processing patterns across object storage, analytical stores, and training optimized formats.
• Create machine learning data pipelines for curation, deduplication, formatting, evaluation sets, and regression tracking.
• Build and operate training and fine tuning pipelines for models used in scientific and workflow driven products.
• Develop intelligent workflow interfaces that connect user intent, structured platform capabilities and executable workflows without exposing unnecessary complexity to users.
• Own model evaluation, benchmarking, automated scoring, and quality tracking so each iteration is measurable.
• Set data and AI engineering standards for the team and turn them into code, documentation, and reusable patterns.

Skills

Python

Data modeling

Data pipelines

Model training

Cloud & distributed compute

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

APIs

Object storage

Analytics stores

Job description

Elemynt is building a small, ambitious engineering team across Singapore and the United States to turn advanced scientific computing into production software that real technical teams can use.

The role owns the data and AI engineering foundation, defining core data models, training pipelines, evaluation systems, and intelligent workflow interfaces, then proving those patterns in production code. This is a hands-on principal position to set technical direction and also build the hardest parts.