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.
Minimum Qualifications:
Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent 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.
Preferred Qualifications:
MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.)
Proficiency in SQL, Python, and relevant ML frameworks, packages, and tools.
Experience with developing machine learning models at scale from inception to business impact.
Experience in designing ML pipelines, including model versioning, deployment, testing, and monitoring.
Experience working in a multi-cultural and multi-location organization - an advantage.
Team player, responsible, delivery-oriented, detail-oriented.
Outstanding communication skills.
Subsidiary: PayPal
Travel Percent: 0
PayPal's hybrid work model offers 3 days in the office and 2 days flexible work from home or office.
Our Benefits:
We offer benefits to support your financial, physical, and mental health, including flexible work, employee shares, health and life insurance, and more. Visit //paypalbenefits for details.
Who We Are:
Learn more about our culture and community.
PayPal is an equal opportunity employer. We provide reasonable accommodations for individuals with disabilities. Contact us at talentamodations@paypal for assistance.
Belonging at PayPal:
We strive to create an inclusive environment where everyone feels valued and has a sense of belonging. Join our Talentmunity to be part of our community.
Apply confidently, knowing we value diversity and inclusion.
Job ID R0127755
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