Data Science Analytics
1 week ago
Work with Data Science team to understand their model deployment needs.
Architect and execute machine learning model deployment, this includes: testing, continuous monitoring, and root cause identification of model deployment.
Explore possibilities to achieve rapid model deployment over the time.
Maintain documentation of model deployments, helping the team to recognise all notable issues, solutions, and learning points.
Comprehensive understanding on credit risk processes, with minimum 1 year experience.
Understanding on machine learning models and its pipelines. This includes the flow of data as input and output of machine learning model.
Ability in programming is a plus, preferably python for PMML model deployment.
Good communication in English and Bahasa with internal team and external parties.
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