• Gather requirements for model parameters. 

• Build feature extraction scripts to automate the process for the ML model. 

• Collaborate with product owners/technical leaders to integrate ML models into products/services. 

• Process data from streaming/raw data based on user needs. 

• Design and maintain scalable and reliable data pipelines to move data across systems. 

• Develop and optimize data warehousing solutions, ensuring efficient data delivery and storage for analysis. 

• Design distributed systems to apply machine learning and data science techniques. 

Please click APPLY to submit your CV

The interview sessions will be held during the ITB Career Days on October 31 – November 1, 2025.