About the job
This job will validate and develop machine learning models and algorithms to solve complex problems. You will work closely with senior engineers, data scientists, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.
Responsibilities
Assist in the development and optimization of machine learning models.
Preprocess and analyze datasets to ensure data quality.
Collaborate with senior engineers and data scientists on model deployment.
Conduct experiments and run machine learning tests.
Stay updated with the latest advancements in machine learning.
Qualifications
Minimum
1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
Familiarity with ML frameworks like TensorFlow or scikit-learn.
Strong analytical and problem-solving skills.
Preferred
Support the lead of the team in performing oversight of high-impact statistical model and AI applications in a variety of business function areas, including but not limited to fraud detection, credit underwriting, marketing analytics etc.Conduct quantitative and qualitative model validation according to Model Risk Management Policy to identify and understand model risk issuesCollaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvementsPerform model and AI risk governance related activities in line with enterprise risk framework, to ensure PayPal’s AI applications are compliant with ever evolving regulatory expectation such as Responsible AI.