PayPal

AI/ML Data Automation Engineer

PayPal

Scottsdale, AZ, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

We are looking for an AI/ML Data Automation Engineer to join the innovative team at PayPal and help lead the way in developing cutting-edge technology. As an AI/ML Data Automation Engineer, you will be responsible for designing and developing automated systems to handle large data sets and enable predictive insights. You will be working with a talented, diverse team to help bring PayPal’s AI/ML solutions to life.We are seeking an individual with a strong background in data engineering and automation, a passion for AI/ML, and a desire to create impactful solutions. The ideal candidate should have a degree in Computer Science, Mathematics, or a related field and at least three years of experience in developing data automation pipelines. An understanding of AI/ML concepts and tools such as Python, R, SQL, and automated machine learning pipelines is also essential. The successful candidate will have the ability to work independently and collaboratively, and demonstrate excellent problem-solving skills. If you are passionate about data automation and AI/ML and have the qualifications necessary to excel in this role, we’d like to hear from you.

Responsibilities:

  1. Design and develop automated systems to handle large data sets and enable predictive insights.
  2. Collaborate with a diverse team to bring PayPal’s AI/ML solutions to life.
  3. Utilize programming languages such as Python, R, and SQL to develop data automation pipelines.
  4. Implement automated machine learning pipelines.
  5. Work independently and collaboratively to solve data automation and AI/ML problems.
  6. Monitor and analyze data automation systems for performance, accuracy, and optimization.
  7. Stay up-to-date on the latest trends and tools in AI/ML and data automation.
Where is this job?
This job is located at Scottsdale, AZ, USA
Job Qualifications
  • R

  • Azure

  • Spark

  • And Kafka

  • And Google Cloud Platform

  • Proficiency In Python

  • Strong Knowledge Of Ai/Ml Principles

  • Algorithms And Techniques

  • Experience In Developing Deep Learning Models

  • Or Other Relevant Programming Languages

  • Expertise In Data Wrangling And Automation

  • Knowledge Of Cloud Computing Platforms Such As Aws

  • Experience Working With Big Data Technologies Such As Hadoop

  • Familiarity With Data Visualization Tools Such As Tableau And Powerbi

  • Good Understanding Of Relational Databases And Nosql Databases

Required Skills
  • Sql

  • Python

  • Linux

  • Data Analysis

  • Big Data

  • Data Modeling

  • Machine Learning

  • Data warehousing

  • Data Visualization

  • Automation

  • Cloud Computing

  • Artificial Intelligence

  • Data Mining

  • Algorithm development

  • Data engineering

Soft Skills
  • Communication

  • Conflict Resolution

  • Leadership

  • Negotiation

  • Time management

  • Interpersonal Skills

  • Teamwork

  • Positive Attitude

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a AI/ML Data Automation Engineer in Scottsdale, AZ, USA is $102,000 to $123,000 per year. This range is dependent on a variety of factors such as experience, qualifications, and the specific position.

Additional Information
PayPal is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedSeptember 27th, 2023
Apply BeforeJuly 20th, 2025
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About PayPal

PayPal Holdings, Inc. enables digital and mobile payments on behalf of consumers and merchants worldwide. It provides a simpler and safer way for businesses of all sizes to accept payments from merchant websites, mobile devices and applications, and at offline retail locations through a range of payment solutions. It also facilitates person to person payments through PayPal, Venmo, and Xoom.

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