MTS 1, Machine Learning Engineer
IND - Tamil Nadu - Chennai - Corp - Old Mahabalipuram Rd, India
PayPal
Verwende dein PayPal-Konto, um zu bezahlen, Geld zu senden und zu verwalten. Oder erstelle dir ein Händlerkonto für dein Unternehmen. Und noch vieles mehr.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.
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.
Job Description Summary:
What you need to know about the role-This role involves designing and implementing Machine Learning solutions in the Payments domain at PayPal Scale. The candidate needs to have hands-on experience in working with Big Data technologies such as Apache Spark, Hadoop based ecosystem tools and frameworks and understands end to end to Model Development Life cycle. Professional experience in writing production grade Scala/Python code as well SQL is mandatory. Understanding of Cloud Native technologies and experience in one the Cloud Platforms such as GCP/Azure/AWS is highly recommended. Experience in building and deploying production grade Generative AI Applications is a plus.
Meet our team
The Payments ML Engineering team as part of Consumer and Merchant Solutions (CMS) Team as part of AI, ML Platform Solutions (AMPS) Org is focussed on improving the Authorization Rate and Transaction Expense Savings contributing to more than $75M revenue through various prediction and optimization problems that could be solved using ML. The team also contributes to various ML Platform features such as Feature Marts, Model monitoring products at PayPal.
Job Description:
Your way to impact:
- Design and build production grade ML applications from Data Preparation, Feature Engineering, Model Training and Evaluation and Deployment.
- Highly effective at working in cross-functional groups including Data Scientist, ML Engineers, Software Engineers, QA Engineers and Product Managers to build and deploy ML and Gen AI based applications.
- Highly analytical, innovative, and able to think strategically and to develop detailed technical specifications based on Product Requirements Documents.
Your day to day:
- Write clean, high-performance, high-quality, maintainable code in Python/Scala and SQL.
- Discovering, analyzing, structuring and mining data
- Be a key engineer contributing to the design, development of the new functionalities and maintaining the existing components
- Work with data scientists and backend engineers to implement scalable AI and ML solutions to solve complex problems at scale.
- Maintain and enhance the existing architectural and design documentations and create the new one as needed
What do you need to bring-
- Excellent communication skills (both oral and written) to communicate highly technical work and decision to our Business, Data science partners and Leadership
- Proven experience in designing and deploying ML/AI solutions at scale in the payments or a similar domain.
- Strong proficiency in big data technologies such as Apache Spark, Hadoop, and distributed computing frameworks.
- Hands-on expertise with cloud-native ML tools and platforms, particularly Vertex AI, and experience deploying models in cloud environments (e.g., Google Cloud, AWS, or Azure).
- Excellent programming skills in Python, Scala, or Java, with experience in ML libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Deep understanding of the end-to-end model development lifecycle, including data wrangling, feature engineering, model evaluation, and monitoring.
- Strong problem-solving and analytical skills, with a passion for tackling complex business challenges.
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
0For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
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.
Commitment to Diversity and Inclusion
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 talentaccommodations@paypal.com.
Belonging at PayPal:
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please Join our Talent Community.
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Engineering Feature engineering GCP Generative AI Google Cloud Hadoop Java Machine Learning ML models Model training Python PyTorch Scala Scikit-learn Security Spark SQL TensorFlow Vertex AI
Perks/benefits: Career development Flex hours Health care Insurance Wellness
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