全职 DevOps Consultant 工作, 薪水, Total EBiz Solutions 公司招聘中 - Ricebowl

Job Description:

The DevSecOps Engineer shall be responsible for the following:

• Own the operationalisation and deployment of ML models into production, working closely with the Data Scientist at the handoff between model development and deployment.

• Manage ML infrastructure and monitor model performance in production, ensuring models remain reliable and accurate over time.

• Own platform security and compliance, ensuring the platform meets IM8 compliance, Government Commercial Cloud (GCC) security baseline requirements, and other applicable data compliance requirements.

• Address data privacy requirements (e.g. PDPA), including implementing measures such as blurring of personally identifiable information in sensitive data sources (e.g. CCTV feeds).

• Work closely with internal team members to progressively transfer MLOps, security, compliance, and data quality capability. Requirements

• Manage the configuration, deployment, and operational readiness of the data platform on the GCC environment.

• Implement infrastructure security controls, ensuring infrastructure meets required GCC security baselines.

• Own data quality standards across the platform, ensuring data is complete, accurate, schema-conformant, and latency-compliant before it propagates downstream.

• Produce infrastructure-specific runbooks covering deployment, configuration, and troubleshooting procedures.

Work closely with internal team members to progressively transfer MLOps, security, compliance, and data quality capability.

Responsibility:

• Degree in Computer Science, Engineering, Information Security, or related field with 8+ years of experience in MLOps, security engineering, or compliance for cloud platforms.

• Proven experience operationalising and deploying ML models in production environments, including model monitoring and performance management.

• Experience implementing data privacy controls such as PII redaction and anonymisation.

Experience securing large-scale, high-sensitivity government or public-sector platforms at national or large and complex scale, having served as the lead security or MLOps engineer for the majority of the project's duration.

• Extensive hands-on experience operating AWS cloud infrastructure, with familiarity with security and compliance requirements for cloud infrastructure.

• Demonstrated experience delivering comparable data platform projects internationally, at city-level or above, beyond the Singapore market.

• Experience deploying and operating data platforms (e.g. Databricks or comparable platforms) in cloud or government-compliant environments, from initial build through to production monitoring and incident response.

• Strong understanding of data quality dimensions: completeness, accuracy, format compliance, schema conformance, and latency, including building and validating these checks as automated tests within the pipeline

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