Are you ready to shape a better tomorrow?

AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.

If you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.

If you want to shape a brighter future at AIA Digital+, please read on.

About the Role

Productionise ML solutions to deliver actionable insights from large-scale, multi-structured datasets, and make sure insights go all the way into the hands of users

Responsibilities:

1) Design and implement MLOPS, i.e. set of tools and operating models used to deploy & maintain & monitor machine learning models in production reliably and efficiently

2) Support ML solutions go-live integration.

3) Act as a bridge between data scientists and IT & data engineers & data architects, especially during development & production architecture design & set-up

4) Design & build the technical architecture to deploy & maintain AI/ML in production

5) Refactor ML model training / testing code into CI-CD pipelines Test and optimize machine learning models and algorithms before they go in production

6) Assist in monitoring and retraining models

Qualifications:

Must Have:

1) Strong knowledge and experience in MLOPS (including TDD, CI/CD tools & methodologies)

2) Strong Software engineering skills, with reasonable knowledge of Python

3) Reasonable knowledge and experience in machine learning

4) Strong communication skills in English, both spoken and written

5) Familiar with Dockers, Kubernetes, API Design

6) Familiar with some DB/Cache systems such as SQL Server, MongoDB, Redis, etc.

7) Strong analytical, problem-solving and teamwork skills

8) 3+ years of relevant experience

9) Degree in computer science, math, statistics or related

Nice to have:

1) Good knowledge of Microsoft Azure stack (AMLS, Synapse, Data Factory, etc.)

2) Strong experience in Python web frameworks like Flask, Django, FastAPI, etc.

3) Strong knowledge of model monitoring & testing & ethical AI libraries such as evidentlyai, deepchecks, fairlearn, etc.

4) Good knowledge of Databricks

5) Knowledge of pySpark & SQL

6) Knowledge of RDBMS and 2+ NoSQL databases

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.