Sr Machine Learning Engineer

PayPal • Austin, TX

1d

About The Position

Develop and optimize machine learning models for various applications. Preprocess and analyze large datasets to extract meaningful insights. Deploy ML solutions into production environments using appropriate tools and frameworks. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models. 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 issues Collaborate with business units and model developers to remediate model issues and provide subject-matter expert opinion on model improvements 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Several years of experience in designing, implementing, and deploying machine learning models. Ability to work effectively both independently and in a team environment Ability to communicate effectively and establish constructive relationship with stakeholders

Requirements

• 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment
• Several years of experience in designing, implementing, and deploying machine learning models
• Ability to work effectively both independently and in a team environment
• Ability to communicate effectively and establish constructive relationship with stakeholders

Responsibilities

• Develop and optimize machine learning models
• Preprocess and analyze large datasets
• Deploy ML solutions into production environments
• Collaborate with cross-functional teams
• Monitor and evaluate the performance of deployed models
• Support the lead of the team in performing oversight of high-impact statistical model and AI applications
• Conduct quantitative and qualitative model validation
• Collaborate with business units and model developers to remediate model issues

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level