Senior ML OPS Engineer

The Customer Support Platform team is looking for an ML Ops/Engineer What you need to know about the role- We work on complaint identification, contact categorization, Gen-AI-based bots, etc., with machine learning to understand root causes and underlying issues and help our teammates and customers in customer service platforms. This job requires creating new pipelines, maintaining/monitoring these models, productionizing the models and expanding these capabilities to various tenants, products, countries and languages

Meet our team-

Our team is a group of ML engineers and data engineers, and we build insights into Complaint identification and contact categorization for the Global Complaint Management team. We also build Gen-AI-based bots to assist PayPal, Venmo and Developers so that customers, merchants and engineers can get self-help from these Gen-AI bots. Our insights are used to identify complaints to meet the regulatory and abate contacts. In this role, you will be critical in helping us find those insights via machine learning/Gen-AI.

Your way to impact  

Your role will be critical in creating new pipelines, maintaining/monitoring these models, productionizing the models and expanding these capabilities to various tenants, products, countries and languages.

Your work will be used across PayPal on some of its most critical problems and how to solve them from a strategic and complaints view. 

Your day to day  

In your day-to-day role, you will  

1.   Design & create the data pipelines and engineering infrastructure to support our clients’ enterprise machine learning systems at scale

2.   Take models that data scientists built and turn them into a machine learning production system

3.   Develop and deploy scalable tools and services for our clients to handle machine learning training and inference

4.   Identify and evaluate new technologies to improve the performance, maintainability, and reliability of our clients’ machine learning systems

5.   Apply software engineering rigor and best practices to machine learning, including CI/CD, automation, etc.

6.   Support model development with an emphasis on auditability, versioning, and data security

7.   Facilitate the deployment of proof-of-concept machine learning systems

8.   Communicate with clients to build requirements and track progress

9.   Interpret the models' results, read data on a fundamental level, and understand how it relates to the problem the model is solving.

10. Monitor the performance of your models, and need to be able to troubleshoot any errors or bugs that may occur.

What do you need to bring:

• The MLOps engineer should have 5 - 8 years of experience in Python, Spark, Pandas and Apache Airflow.
• One year of experience in Big data technologies such as BigQuery, Hadoop, SQL, Hive, GCP & Azure
• One year of experience in Java, REST
• Experience in Seldon, Triton, Jenkin CI/CD
• Should have experience building large-scale data pipelines using Apache Kafka

Scope:

Understand requirements.

Impact Analysis & Detailed estimation.

High Level & Detailed design document.

Coding, Unit & Integration Testing.

Support during User Acceptance Testing.

Fix bugs identified during Testing and after deployment to Production.

Adherence to PayPal processes & standards for all activities performed.

Releasing the component to Production.

Post-production monitoring, ramp and support.

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.

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 paypalglobaltalentacquisition@paypal.com.

As part of PayPal’s commitment to employees’ health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.