AI & ML Engineer

SAGL CONSULTING PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading consulting company in Singapore seeks a hands-on AI/ML Engineer to develop and support ML pipelines and governance controls. The candidate will work closely with the Senior Consultant, ensuring compliance within a banking-regulated environment. Required skills include hands-on AI/ML experience, understanding of the ML model lifecycle, and exposure to compliance concepts. This role focuses on execution and technical implementation rather than extensive documentation, providing an exciting opportunity for practical involvement in a dynamic field.

Qualifications

• Hands-on experience in AI/ML engineering is essential.
• Must understand the ML model lifecycle and deployment processes.
• Exposure to governance concepts in AI/ML is beneficial.

Responsibilities

• Develop and support AI/ML pipelines aligned with governance and compliance.
• Implement engineering controls for model traceability and validation.
• Support integration of ML solutions with data platforms.

Skills

Hands-on experience in AI/ML engineering

Practical understanding of ML model lifecycle

Exposure to governance, risk, or compliance concepts

Experience working in banking or financial services

Job description

We are looking for a hands‑on AI / ML Engineer to support the build, integration, and analysis of AIsolutions in a banking‑regulated environment.

This role focuses on execution, working closely with the Senior Consultant to implement ML pipelines, governance controls, and integrations, rather than producing documentation‑heavy deliverables.

Key Responsibilities

• Develop and support AI/ML pipelines aligned with governance and compliance requirements.
• Implement engineering controls related to:
  • Model traceability
  • Monitoring and validation
  • Explainability and audit readiness
• Support integration of ML solutions with data platforms and enterprise systems.
• Assist in translating governance requirements into technical implementation tasks.
• Participate in analysis related to model risk, controls, and compliance gaps.
• Support delivery milestones and hands‑on implementation activities.

Required Skills & Experience

• Hands‑on experience in AI/ML engineering.
• Practical understanding of ML model lifecycle and deployment processes.
• Exposure to governance, risk, or compliance concepts in AI/ML (even if not deep).
• Experience working in banking or financial services environments.

Nice to Have

• Prior experience supporting AI governance or model risk initiatives.
• Familiarity with compliance‑driven development environments.
• Exposure to documentation standards (secondary, not primary).

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