About this role
Define and execute comprehensive test strategies for statistical, ML, and LLM models while conducting evaluations for accuracy, bias, and robustness. Collaborate with data scientists to assess model workflows, maintain automated testing pipelines, and ensure data integrity.
Requires at least 4 years of experience in model testing, MLOps, or data engineering with proficiency in Python, SQL, and statistical modeling. Candidates must demonstrate strong troubleshooting skills and the ability to articulate complex technical findings to cross-functional teams.
What they're looking for
PythonPySparkMLlibPytestSQLMachine LearningLLMModel Validation
Frequently asked questions
What does a AVP/VP, AI/ML Model Validation Engineer, Data Management Office at SMBC do?
Define and execute comprehensive test strategies for statistical, ML, and LLM models while conducting evaluations for accuracy, bias, and robustness. Collaborate with data scientists to assess model workflows, maintain automated testing pipelines, and ensure data integrity. Requires at least 4 years…
What skills does this AVP/VP, AI/ML Model Validation Engineer, Data Management Office role need?
Key skills for this role include Python, PySpark, MLlib, Pytest, SQL, Machine Learning.
How much does a AVP/VP, AI/ML Model Validation Engineer, Data Management Office at SMBC pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this AVP/VP, AI/ML Model Validation Engineer, Data Management Office role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this AVP/VP, AI/ML Model Validation Engineer, Data Management Office role?
You can apply directly on SMBC's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.