At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone.

As pioneering innovators for over 100 years, we’re now transforming our organisation to be faster, simpler and more connected. Because we want to be even better equipped to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives.

To get there, we need people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions of people and create a healthier future for everyone.

If you believe in developing a better tomorrow, read on. 

About the Role

WHAT YOU WILL DO:

• Design, develop, and implement advanced generative models using cutting-edge AI technologies.

• Develop and maintain machine learning and deep learning models.

• Collaborate with data scientists and engineers to design and implement machine learning pipelines using MLOps practice for Data Preparation, Model Training/Re-Training, Deployment, Inference and Monitoring.

• Develop and Deploy scalable REST APIs to expose ML models to various business applications for online inference.

• Develop and implement Data Pipelines for curation of structured/un-structured and semi-structured data for Feature Engineering, Model Training and Batch / Online Inference.

• Conduct research and development activities to improve the performance and efficiency of generative models.

• Collaborate with cross-functional teams to integrate AI / ML models into our products and services.

• Develop and maintain technical documentation related to AI / ML projects and initiatives.

• Provide technical leadership and mentorship to team members.

• Participate in stakeholder discussions to understand the business needs and map into AI roadmap.

• Participate in code reviews to ensure the quality and performance of the AI models.

WHAT YOU SHOULD HAVE:

• 7+ years of experience in Machine Learning / Data Science Role.

• Bachelor or Master degree in computer science, Artificial Intelligence, Machine Learning, or a related field.

• Strong knowledge of machine learning, deep learning, and generative models.

• Experience in training and fine-tuning GenAI models.

• Proven experience in machine learning operations (MLOps).

• Proficiency in programming languages such as Python, Java, or C++.

• Familiarity with cloud platforms like AWS, Google Cloud, or Azure.

• Strong knowledge of Databricks.

• Strong knowledge of PySpark & SQL.

• Strong experience in Python web framework like Flask, Django, FastAPI.

Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives.

You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date.