Be a Part of Something BIG! 

This is a machine learning engineer role in Advanced Analytics team to support Financial & Lifestyle Services (eg. Insurance) on activities related to ML operation, campaign automation, data pipeline development, production monitoring, dashboard development and maintenance.   

Make an Impact by:

• Work with internal stakeholders to translate prototype into production code
• Responsible of setting up data pipeline, job monitoring and alert in production
• Maintenance of automation jobs and data quality monitoring
• Setting up of campaign performance tracking on production dashboard
• Support the continuous exploration & research on internal and external data sources to sharpen the targeting
• Implementation of DataOps/ MLOps pipeline in production

Skills for Success

• Good degree in engineering, science, IT or related field.
• Minimum 2 years experience in relevant field
• Proficient in Python, Java and SQL
• Well-versed in data engineering and big data frameworks (Hadoop, Spark, Impala, Hive etc)
• Familiar with MLOps and DevOps, CI/CD
• Experience in ETL development, data profiling and data quality management
• Good team player
• Strong organizational skill & conscientious personality.
• Meticulous, proactive and dynamic with ability to work independently.
• Effective communication and people engagement skills.

Rewards that Go Beyond

• Full suite of health and wellness benefits 
• Ongoing training and development programs 
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.