Job Description

Primary Details

Time Type: Full timeWorker Type: Contingent WorkerBuilds, integrates, and deploys GenAI solutions using LLMs, with strong focus on coding, model fine-tuning, and MLOps practices.

Your New Role:

• Develop and deploy applications that use LLMs (e.g., chatbots, document analyzers, code generators).
• Fine-tune and evaluate LLMs using custom datasets.
• Implement RAG (retrieval-augmented generation), agents, or multi-step reasoning workflows.
• Integrate GenAI pipelines into production systems using MLOps tools (e.g., MLflow, Azure ML, Databricks).
• Build and monitor inference APIs with performance and cost considerations.
• Apply prompt engineering, vector databases, and orchestration frameworks.
• Ensure responsible AI practices, including model explainability, bias mitigation, and security.

About You :

• Bachelor to Postgraduate Degree in a Quantitative field such as Computer Science, Engineering, Statistics, Mathematics or related disciplines.
• Experience in producing insights from large datasets.
• Analytics experience with R, Python, Spark.
• Collaborative programming project experience.
• Comfortable in a Linux environment.

About QBE

What if you could have a positive impact – at work and in the world?

At QBE, we’re enabling a more resilient future – for our customers, communities, environment, and for our people. We’re building momentum to achieve something significant and know our people are at the centre of our success.

Our industry offers interesting and varied careers where you can help people to protect what matters most. As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. And with more than 13,000 people working across 27 countries, our scale means we’re big enough for your ambitions, yet small enough for you to make a real impact.

QBE Asia’s operations is part of the QBE International Division, and has had a presence in Asia for more than 130 years with offices in: Singapore, Hong Kong & Macau, Malaysia and Vietnam. We continue to be recognised for our ongoing focus on digital innovation to deliver exceptional value and operational excellence for our customers, business partners, people and the community. We support ESG efforts through the QBE Foundation, which helps to create strong, resilient and inclusive communities, by focusing investment and efforts on two key areas where we believe we can have the greatest impact – climate resilience and inclusion.

Skills:

Analytical Thinking, Communication, Critical Thinking, Data Analytics, Data Modeling, Data Science, Data Visualization, Financial Products, Intentional collaboration, Machine Learning (ML), Managing performance, Research Analysis, Risk Management, Stakeholder Management, Statistical ModelsApplication Close Date: 30/03/2026 11:59 PM

How to Apply:

To submit your application, click "Apply" and follow the step by step process.

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.