ML Platform Security & Deployment Engineer

FPT Asia Pacific Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

FPT Asia Pacific Pte Ltd in Singapore is seeking a DevSecOps Engineer to operationalise ML models, manage ML infra, and own platform security and data privacy across GCC environment.

You will collaborate with data scientists, ensure compliance with PDPA and GCC, implement automated data quality checks, and drive deployment readiness for cloud-based data platforms such as Databricks on AWS.

Qualifications

• 8+ years of experience in MLOps, security engineering, or cloud compliance.
• Proven track record deploying ML models to production with monitoring.
• Hands-on with government/public-sector security compliance, AWS preferred.
• Experience with data privacy controls such as PII redaction and anonymisation.
• Experience securing large-scale government/public-sector platforms.
• Extensive experience operating AWS cloud infrastructure and Databricks.

Responsibilities

• Own the operationalisation and deployment of ML models into production, coordinating handoff with Data Scientists.
• Manage ML infrastructure and monitor model performance in production for reliability and accuracy.
• Own platform security and GCC/GCC security baseline compliance across the data platform.

Skills

MLOps

Security engineering

Compliance

Data privacy controls

PII redaction

Anonymisation

Data quality checks

Infra security controls

Deployment automation

Monitoring production models

Education

Bachelor's degree in Computer Science / Engineering / Information Security

Tools

Databricks

AWS

Job description

FPT Asia Pacific Pte Ltd in Singapore is seeking a DevSecOps Engineer to operationalise ML models, manage ML infra, and own platform security and data privacy across GCC environment.

You will collaborate with data scientists, ensure compliance with PDPA and GCC, implement automated data quality checks, and drive deployment readiness for cloud-based data platforms such as Databricks on AWS.