Reporting to the Lead of Advanced Analytics, this role is responsible to ensure the successful delivery of group wide advanced analytics initiatives. These initiatives typically include the application of advanced analytics models on structured, semi structured and unstructured data to derive business insights with a potential to drive business performance.
The machine learning engineer is expected to work closely with key stakeholders and possess the relevant technical skills required to productionize analytics solutions that enable the use of data as a strategic asset. The Job
Work closely with data scientists, data engineers and IT to deploy analytics solutions into production environment.
Produce high-quality production-level codes to ensure scalable and robust model pipelines and refactor codes into reusable libraries, APIs, and tools.
Build test cases to perform unit testing upon code changes and responsible for model operations including model performance monitoring and model governance.
Work closely with business stakeholders to drive integration and adoption of analytics insights into new and existing business processes by demonstrating the ability to communicate the business benefits provided by analytics insights.
Establish partnership with IT to ensure adequate data infrastructure is in place to support the availability and efficient blending of traditional, unstructured and also third party data for various analytics projects.
Ensure all analytics project undertaking comply with both internal and external policies, guidelines and regulations.
Collaborate with third party solutions providers to identify next generation analytics solutions through a series of proof of concepts (POC).
Provide group level support to extended Analytics team based in other GE offices such as Malaysia.
Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
Highlights any potential concerns /risks and proactively shares best risk management practices.