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Paypal- Machine Learning Job 2020
Paypal is hiring for the position of machine learning engineer. For more such off campus drives, internships and free courses with certifications be updated on our website.
Job Title | PayPal Is Hiring Machine Learning Engineer |
---|---|
Description | The candidate will be part of PayPal Privacy Engineering Team. The candidate will be responsible for analysis, design, coding and building web platforms. The individual should be self-motivated, team-oriented problem solver, possess creative problem-solving skills . |
Work Location | Chennai – India |
Employment Type | FULL TIME |
Responsibilities
- Exciting Role to be part of Paypal Privacy team which creates AI classifiers for structured data, unstructured text and image data for regulatory requirements
- Build, evolve, and scale state-of-the-art machine learning system for powering PayPal’s Privacy Classifier platform
- Be a key engineer contributing to the design and development of algorithms
- Work with other AI engineers to implement scalable solutions to solve complex problems.
- Creating data pipelines and overall workflow orchestration to cover Privacy classifier data needs
- Build Scalable models that are more optimized for resource constrained environment
- Design and implement solutions at fast pace
- Analyze and support requirements for various Privacy compliance needs across globe.
Job Description Summary:
The candidate will be part of PayPal Privacy Engineering Team. The candidate will be responsible for analysis, design, coding and building web platforms. The individual should be self-motivated, team-oriented problem solver, possess creative problem-solving skills .
Skills:
• Expertise in building NLP , Computer vision AI models
• Hands on expertise and contributions in AI Algorithms Research
• Strong in Core statistical and neural network concepts
• Innovative and Experienced in building and deploying scalable AI Models
• Classical ML and Deep learning Algorithms
• Good knowledge of Python with ability to write efficient and deployment ready code
• Experienced with machine learning frameworks and libraries
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