About the company
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. For more information, visitāÆhttps://www.paypal.com ,āÆ https://about.pypl.comāÆand āÆhttps://investor.pypl.com. PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected].
Job Summary
Your day to day
šEssential Responsibilities: šDesign, Develop and optimize machine learning models for various applications. šPreprocess and analyze large datasets to extract meaningful insights. šDeploy ML solutions into production environments using appropriate tools and frameworks. šCollaborate with cross-functional teams to integrate ML models into products and services. šMonitor and evaluate the performance of deployed models. šCollaborate with various stakeholders to drive the right adoption and understand changing business needs šPeople Management Roles: šOversee the teamās capabilities, timely deliveries and execution šGuide and mentor the team through projects and to facilitate their career growth
What do you need to bring-
šMinimum Qualifications: šMinimum of 8 years of relevant work experience and a bachelorās degree or equivalent experience. šExperience with ML frameworks like TensorFlow, PyTorch, or scikit-learn. šFamiliarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. šSeveral years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems
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