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

• Implement ETL pipelines in Azure cloud environment for reporting and analytics projects
• Monitor and support existing BAU pipelines in Azure cloud platform
Provide infrastructure support to Azure cloud platform users as a part of the admin team

Roles and Responsibilities:

Design and implement MLOPS, i.e. set of tools and operating models used to deploy and maintain machine learning models in production reliably and efficientlyAct as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-upTest and optimizing machine learning models and algorithms before they go in productionAssist in monitoring and retraining models when needed

Minimum Job Requirements:

Degree in computer science, math, statistics or relatedStrong knowledge and experience in PythonStrong knowledge and experience in MLOPSStrong communication skills in English, both spoken and writtenStrong knowledge and experience in machine learning and statisticsStrong Software engineering skillsGood knowledge of Agile, DevOps, TDD, CI/CD tools & methodologiesFamiliar with Azure Databricks, MLFLOW, Dockers, KubernetesFamiliar with DB/Cache systems like SQL Server, MongoDB, Redis, etc.Strong analytical, problem-solving and teamwork skills3+ years of relevant experience

Nice to Have:

Good knowledge of Microsoft Azure stack (AMLS, Synapse, Data Factory, etc.)Strong knowledge of DatabricksStrong knowledge of pySpark & SQLStrong experience in Python web framework like Flask, Django, FastAPI, etc.Strong knowledge of RDBMS and 2+ NoSQL database

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.