Senior AI/ML Engineer — AWS Bedrock Data Pipelines

VISTRA

Singapore

Hybrid

SGD 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Flexible hybrid working
Medical insurance
Dental coverage
Wellness allowance
Annual leave

Job summary

Vistra, based in Singapore, seeks an experienced AI/Machine Learning Engineer to join our dynamic team. You will lead end-to-end ML pipelines, collaborate with stakeholders, and implement AI-driven solutions across corporate secretarial and accounting use cases.

The ideal candidate has 5–7 years’ experience, strong Python skills, and hands-on work with cloud-based AI platforms like AWS Bedrock. A hybrid work model and comprehensive benefits are offered.

Qualifications

  • 5–7 years of hands-on AI/data engineering experience.
  • Experience building AI-enabled data pipelines on cloud platforms.
  • Proficiency with ETL/ELT, data warehousing, and orchestration tooling.

Responsibilities

  • Fine-tune and deploy ML models from research to production for data extraction and prediction.
  • Design and maintain end-to-end ML pipelines with MLOps for reliability.
  • Architect AI-driven data pipelines for structured/unstructured documents on AWS Bedrock.
  • Collaborate with stakeholders and cross-functional teams to gather requirements.
  • Implement data governance, security, and quality measures across data lifecycle.
  • Lead research, experimentation, and evaluation of emerging AI/data tech.

Skills

AI/Data engineering
Model fine-tuning
MLOps
Python
ETL/ELT
Data pipelines

Education

Bachelor's degree in Computer Science or related field

Tools

AWS Bedrock

Job description

Vistra, based in Singapore, seeks an experienced AI/Machine Learning Engineer to join our dynamic team. You will lead end-to-end ML pipelines, collaborate with stakeholders, and implement AI-driven solutions across corporate secretarial and accounting use cases.

The ideal candidate has 5–7 years’ experience, strong Python skills, and hands-on work with cloud-based AI platforms like AWS Bedrock. A hybrid work model and comprehensive benefits are offered.

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