AI Platform Engineer - Enterprise ML & MLOps

DBS Bank Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

DBS Bank Ltd in Singapore is seeking an experienced AI and DevOps engineer to collaborate with SMEs across finance, security, risk, and application teams. You will map current processes, translate business needs into AI and agent-based use cases, prototype solutions, and advance them toward production.

You'll develop models for cost forecasting and anomaly detection, design safe AI agents with guardrails, and build end-to-end services deployed on GCP and on-prem, with strong emphasis on

Qualifications

• 3-6 years of experience in DevOps, platform, MLOps, or AI engineering.
• Hands-on experience building ML models or LLM-based applications in Python.
• Exposure to RAG pipelines, vector databases, LLM evaluation, and guardrails.
• Experience building interactive web applications with React and data visualization libraries.
• GCP experience (GKE, Vertex AI) and self-managed Kubernetes.

Responsibilities

• Map current processes with SMEs to identify data sources and pain points.
• Turn business needs into AI and agent-based use cases and prototypes.
• Develop AI models for cost forecasting, anomaly detection, and risk scoring.
• Design AI agents that summarize posture, flag issues, and trigger actions.
• Build production-grade services with guardrails and audit trails.
• Own deliverables end to end from plan to handover.

Skills

Ownership mindset

Communication

Analytical thinking

Problem solving

Tools

Python

React

Flask/FastAPI

GKE

Vertex AI

Kubernetes

vLLM/Triton/KServe

SQL/MySQL

BigQuery

Trino/Presto

Grafana

Job description

DBS Bank Ltd in Singapore is seeking an experienced AI and DevOps engineer to collaborate with SMEs across finance, security, risk, and application teams. You will map current processes, translate business needs into AI and agent-based use cases, prototype solutions, and advance them toward production.

You'll develop models for cost forecasting and anomaly detection, design safe AI agents with guardrails, and build end-to-end services deployed on GCP and on-prem, with strong emphasis on