Job ID: 26301
Location: Singapore, SG
Area of interest: Technology
Job type: Regular Employee
Work style: Hybrid Working
Opening date: 25 Apr 2025

JOB SUMMARY

We are seeking for an experience AI Platform Engineer to design, develop and maintain hybrid AI Platform across multi-cloud and on-premises. Build an AI platform that enables real time machine learning and GenAI at scale along with governance and security frameworks.

ABOUT STANDARD CHARTERED

We’re an international bank, nimble enough to act, big enough for impact. For more than 170 years, we’ve worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you’re looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can’t wait to see the talents you can bring us.
Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you’ll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

KEY RESPONSIBILITIES

• Responsible for designing and delivering hybrid AI Platform.
• Develop and maintain scalable, efficient and reliable data and AI pipelines.
• Collaborate with data scientist, data engineers, and central data governance team to align with a standardised data strategy.
• Design and implement MLOps and LLMOps framework
• Design and implement automated pipelines for prompting machine learning models to production.
• Design and implement monitoring strategy for AI Platform and integrate with central observability platform.
• Ensure AI platform delivery and services meet security and risk requirements and operational SLA.
• Write and maintain detailed documents for hybrid AI Cloud Platform.
• Cross-Collaborate with technology and architecture teams to align with best practices and standards.
• Perform code-reviews ensuring lower tech debt and avoiding spaghetti code.
• Stay up to date with industry trends, research in artificial intelligence field.
• Develop and maintain strong relations ships with internal and external stakeholders.

ROLE SPECIFIC TECHNICAL COMPETENCIES

• Experience for designing, managing and maintaining Cloud and On-Premises Platform
• Experience on working with implementing AI Platform on physical servers e.g. Dell, HP etc
• Hands on experience on infrastructure as a code tools like Terraform, Bicep, Cloud Formation, ARM Templates etc
• Hands on experience in AWS EKS / Azure Kubernetes Service (AKS)
• Programming languages such as Python, Golang
• Hand-on experience on integrating open-source libraries like Unity Catalog, MLFlow, KubeFlow
• Finetuning and Optimizing usage of GPU accelerated machine learning algorithms.
• Designing and developing Ray Clusters whilst optimizing GPU usage
• Hands-on Experience on implementing MLOps and LLMOps frameworks
• Deep Understanding of Artificial Intelligence and Machine Learning concepts