Description
Essential Responsibilities :
Solve real-world payments problems with AI and ML, bringing deep technical expertise and product thinking to areas such as authorization rate, cost optimization, availability improvement
Enable faster development and deployment cycles and robust model operations by integrating industry-standard MLOps pipelines.
Be a thought leader and architect scalable, production-grade AI / ML systems for mission-critical projects
Mentor and lead junior engineers raising the technical bar for the team.
Minimum Qualifications :
Master’s degree in Computer Science, Data Science, Engineering, or a related field.
8+ years of experience developing and deploying ML models in production environments.
Preferred Qualification :
Strong understanding of supervised and unsupervised learning, deep learning algorithms, model evaluation, and algorithm tuning.
Familiarity with agentic and multi agent frameworks (e.g., LangChain, LangGraph, ReAct, or similar) and the basics of LLMOps concepts like observability, routing, state management, and modular agents.
Proven experience working with tabular and textual data, including advanced preprocessing techniques.
Proficiency in Python (preferred) and Java, with hands-on experience building RESTful APIs and integrating AI / MLmodels into live services.
Solid grasp of containerization (Docker, Kubernetes), and MLOps frameworks (e.g., MLflow, TFX, or Kubeflow), streaming data systems (e.g., Kafka, Flink) and real-time ML inference.
Demonstrated experience in system architecture, solution design, and building scalable AI / ML systems.
Strong communication and collaboration skills; ability to work in a fast-paced, cross-functional environment.
Subsidiary : PayPal
Travel Percent :
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 .
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 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 .
Who We Are :
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 .
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 .
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.
Machine Learning Engineer • Egattur, Tamil Nadu, India