Full-timeTech & engineering· Posted 29 Sept

Data Scientist, Platform AI Squad, Group Data Office (AVP/VP)

OCBCFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: Hybrid
Experience: Experienced

About the role

You will join the Group Data Office's Platform AI Squad, working on the cloud infrastructure and software frameworks that support enterprise AI across the bank. The role sits where AI application engineering, high-performance inference and cloud platform engineering meet, and it suits someone who enjoys building and running production AI systems at scale.

What you'll do

Build and scale multi-agent orchestration frameworks integrated with AWS.
Design reusable, enterprise-grade agentic platform components and applications.
Implement function-calling harnesses and modern protocols connecting LLMs to databases, vector stores and enterprise APIs.

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Integrate managed cloud services alongside custom open-source agent frameworks.

Deploy automated evaluation pipelines to validate tool-calling precision, hallucination rates and prompt safety before release.

Deploy and maintain low-latency LLM serving engines across on-premises GPU clusters and cloud infrastructure.

Establish GPU capacity planning, utilisation tracking, monitoring and budgeting processes.

Oversee automated model versioning, artifact storage and metadata tracking.

Integrate foundation models for serverless scaling and hybrid workload routing.

Package models into production-ready microservices supporting REST/gRPC APIs, batch processing and streaming inference.

Implement inference optimisation techniques to reduce time-to-first-token and maximise token throughput.

Provide daily operational support for MLOps platforms, ensuring high availability, cluster stability and rapid incident resolution.

Build and maintain automated CI/CD workflows for model testing, containerisation, feature store syncing and release management.

Provision multi-tenant enterprise infrastructure using infrastructure-as-code tools on Kubernetes.

Configure telemetry for GPU tracking, latency SLAs, token costs and data/model drift monitoring.

Good to know

Based at OCBC Singapore.
AVP level requires 4+ years of experience; VP level requires 8+ years.
AVP role involves driving a project from 0 to 1.
VP role involves leading platform engineering practices and team leading experience.

Requirements

Bachelor's, Master's or PhD in Computer Science, Data Science, Artificial Intelligence or a quantitative discipline
AVP: 4+ years hands-on experience building LLM applications, microservices, containerised AWS deployments and daily MLOps operations
VP: 8+ years architecting production AI platforms, LLM serving stacks and multi-agent harnesses at enterprise scale, with team leading experience
Core experience with AWS services including Bedrock, SageMaker AI, EKS, EC2 GPU instances, S3, IAM, CloudWatch and PrivateLink
Strong proficiency in Python
Deep hands-on experience with LangChain/LangGraph and LlamaIndex

Benefits

Competitive base salary
Holistic, flexible benefits suite
Community initiatives
Industry-leading learning and professional development opportunities

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Data Scientist, Platform AI Squad, Group Data Office (AVP/VP)

About the role

What you'll do

Good to know

Requirements

Benefits

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