OVERALL ROLE PURPOSE:
- Working within OCBC AI Lab, our Center of Excellence for Data Science and Artificial Intelligence, you will lead our new ML Engineering and Operations practice.
- You will be creating and managing a team of 5 ML Engineers.
- You will own Hydra – our MLOps ecosystem and design our future MLOps strategy to improve the scalability and maintainability of our models and deployments.
Responsibilities
- Develop and own the OCBC MLOps Strategy to identify and prioritise the roadmap, including areas such as observability, model management, and scaling.
- Develop common reusable data assets, such as a Feature Store and the Enterprise Customer Graph.
- Support our data scientists in deploying and maintaining models in production.
- Explore new emerging open-source technologies and how they could benefit our platforms and processes.
Requirements
Job Qualifications
- Postgraduate degree in Computer Science, Computer Engineering, or a similar computing intensive subject.
- Strong Experience working with scalable distributed container platforms particularly Kubernetes or OpenShift.
- Hands-On experience with Hadoop-based engines, such as Hive, Impala.
- Experience with distributed computing framework such as Spark, Dask, Ray.
- Solid understanding of data science processes and platform.
- Strong programming skills in Python and another object-oriented language (e.g. Scala, C++).
- Experience working with real-time processing framework, such as Kafka and Flink.
- Clear communicator, with the ability to articulate ideas with data.
- Experience with operating in a corporate environment and stakeholder management.
- Strong results driven personality with an innovative spirit.