Position Details
About this role
This role involves leading the development of advanced machine learning models and algorithms to enhance PayPal's services. The engineer will work on building scalable pipelines, ensuring data quality, and deploying AI solutions into production.
Key Responsibilities
- Develop ML models
- Optimize algorithms
- Build scalable pipelines
- Deploy models into production
- Ensure data quality
Technical Overview
The technical environment includes machine learning frameworks like TensorFlow and PyTorch, data analysis, model deployment, and AI/ML pipelines within a hybrid work setting.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with extensive experience in developing and deploying machine learning models, algorithms, and AI solutions. They should have a strong background in data analysis, pipelines, and working with large datasets in a hybrid environment.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with ML pipelines, No deployment experience, Insufficient knowledge of algorithms
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