Lead, Machine Learning Engineering, AI Lab

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

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.

Qualifications

REQUIREMENTS:

• 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.