Machine Learning Engineer - AI Lab

OVERALL ROLE PURPOSE:

• Working within OCBC AI Lab, our Center of Excellence for Data Science and Artificial Intelligence, you will be part of our new ML Engineering and Operations practice.
• You will be part of our MLOps ecosystem and design our future MLOps strategy to improve the scalability and maintainability of our models and deployments.

Responsibilities

• Build scalable MLE platforms such as Pipelines, Feature Store, and Enterprise Customer Graph to accelerate the organization’s AI capabilities
• Work closely with 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

• Degree in Computer Science, Computer Engineering, or a similar computing intensive subject.
• Relevant work experience in Machine Learning Engineering, Backend Engineering, and/or DevOps
• Hands-On experience with Hadoop-based engines, such as Hive, Impala.
• Experience with distributed computing framework such as Spark, Dask, Ray.
• Strong programming skills in Python and another object-oriented language (e.g. Scala, C++).
• 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.

Good To Have

• Strong Experience working with scalable distributed container platforms particularly Kubernetes or OpenShift.
• Experience working with real-time processing framework, such as Kafka and Flink.