PayPal is looking to solve complex problems by designing, developing, and implementing scalable engineering solutions to support machine learning models and analytics workflows, addressing the need for enhanced AI/ML-driven services and improved customer experiences.
Requirements
- 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.
Responsibilities
- 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.
Other
- Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Ability to work in a hybrid work model with 3 days in the office and 2 days at home.
- Must be able to work in a diverse and inclusive environment.
- Must be able to communicate effectively with cross-functional teams.
- Must be able to work in a fast-paced environment with changing priorities.
