AI/ML Data Automation Engineer

PayPal
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Job Description

As a Python engineer, you will be responsible for designing, developing, and deploying big data, machine learning models and AI applications that solve complex business problems.

In your day to day, you will:

  • Develop, implement, and maintain machine learning models, including data collection, model design, training, optimization, and validation.
  • Collaborate closely with product teams and other stakeholders to understand business needs and translate them into technical requirements.
  • Develop robust data pipelines to collect, clean, and process data from various sources.
  • Keep up to date with the latest technologies and research in the field of AI and ML to bring innovative solutions and improvements to our products.
  • Monitor the performance of AI/ML systems and make improvements as necessary.
  • Work closely with other members of the team to design and implement solutions, including collaborating with domain SMEs to understand the data and design models, working with software engineers to integrate models into products, and collaborating with product managers to define requirements and prioritize work.
  • Responsible for developing and maintaining data pipelines to support machine learning models, which includes data cleaning, feature engineering, and data storage.
  • Conduct experiments to evaluate model performance, including designing experiments to evaluate the performance of machine learning models, and then analyze and interpret the results to improve model performance.
  • Communicate technical concepts to non-technical stakeholders, you will need to be able to communicate complex technical concepts to non-technical stakeholders in a way that is easy to understand.
  • Provide technical leadership and mentorship in the field of Big data and AI/ML

What do you need to bring:

  • Bachelor’s degree or higher in Computer Science, Statistics, Mathematics, or a related field
  • 5+ years of experience working on Big Data and AI/ML models in a production environment.
  • Experience with big data processing frameworks such as Hadoop, Spark, PySpark, or Kafka, and hands-on experience with Google Cloud Platform (GCP)
  • Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, Scikit-Learn, or similar.
  • Understanding of various machine learning techniques (classification, regression, clustering, etc.)
  • Strong knowledge of statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithms
  • Experience with data preparation and data engineering - Python engineers should have experience with data preparation and data engineering tasks such as data cleaning, feature engineering, and data transformation.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com

Who We Are:

Click Here to learn more about our culture and community.

PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.

Company Info.

PayPal

PayPal Holdings, Inc. is an American company operating an online payments system in the majority of countries that support online money transfers, and serves as an electronic alternative to traditional paper methods like checks and money orders.

  • Industry
    FinTech
  • No. of Employees
    30,900
  • Location
    2211 North 1st Street, San Jose, CA 95131, USA
  • Website
  • Jobs Posted

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