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 Summary This job will design develop and implement machine learning models and algorithms to solve complex problems You will work closely with data scientists software engineers and product teams to enhance services through innovative AI ML solutions Your role will involve building scalable ML pipelines ensuring data quality and deploying models into production environments to drive business insights and improve customer experiences Experie Essential Responsibilities Develop and optimize machine learning models for various applications Preprocess and analyze large datasets to extract meaningful insights Deploy ML solutions into production environments using appropriate tools and frameworks Collaborate with cross-functional teams to integrate ML models into products and services Monitor and evaluate the performance of deployed models Expected Qualifications 3 years relevant experience and a Bachelor s degree OR Any equivalent combination of education and experience Experience with ML frameworks like TensorFlow PyTorch or scikit-learn Familiarity with cloud platforms AWS Azure GCP and tools for data processing and model deployment Several years of experience in designing implementing and deploying machine learning models Additional Responsibilities And Preferred Qualifications Responsibilities Design develop and operationalize scalable machine learning and credit risk models leveraging PySpark and advanced modeling frameworks Build train and optimize statistical and deep learning models focused on credit scoring fraud detection and portfolio risk management Collaborate cross-functionally with credit risk analysts data engineers and business teams to translate analytical requirements into production-grade credit modeling solutions Ensure model robustness accuracy and compliance through rigorous validation back-testing and performance monitoring Develop and maintain automated ML pipelines for data ingestion feature engineering model training and deployment across large-scale credit datasets Implement and enhance MLOps practices including model integration model monitoring Research and experiment with innovative modeling techniques e g gradient boosting neural networks graph-based learning to improve credit decisioning capabilities Mentor junior team members conduct peer code reviews and promote engineering excellence within the credit modeling domain Required Qualifications Bachelor s or Master s degree in Computer Science Statistics or a related quantitative field 6 years of experience in machine learning model development and deployment preferably in the financial services or credit risk domain Strong programming proficiency in Python and SQL with hands-on experience using PySpark for large-scale data processing Deep understanding of ML frameworks such as TensorFlow Keras or PyTorch Expertise in distributed computing scalable data pipelines and model optimization techniques Proven experience deploying models in production cloud environments AWS GCP or Azure Demonstrated ability to write clean well-documented and production-ready code Preferred Qualifications Experience in credit risk modeling Understanding of model governance frameworks ML explainability e g SHAP LIME and regulatory compliance Familiarity with feature store architectures model drift detection and automated model retraining workflows Knowledge of data privacy and compliance practices relevant to credit data PayPal does not charge candidates any fees for courses applications resume reviews interviews background checks or onboarding Any such request is a red flag and likely part of a scam To learn more about how to identify and avoid recruitment fraud please visit https careers pypl com contact-us For 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 advantages 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 To learn more about our culture and community visit https about pypl com who-we-are default aspx 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 paypalglobaltalentacquisition 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

📌 Sr Machine Learning Engineer (Tamil Nadu)
🏢 Paypal
📍 Tamil Nadu