MTS 2, Software Engineer

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to revolutionize commerce globally to make moving money, selling and shopping, personalized and secure. 

Job Description Summary:

What you need to know about the role
As a technical lead in PayPal’s Enterprise AIML platform team based in Bangalore, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams, guiding them through the intricacies of functional definition, architecture, solution implementation, and integration within complex environments. With a proven track record in technical leadership, you'll be instrumental in driving high-quality products and ensuring the successful delivery of projects while effectively leading and mentoring team members.

Meet our team
The PayPal AI/ML Platform and Solutions (AMPS) team us building a world class end-to-end AI/ML platform to scale up AI/ML solution development at PayPal, enabling intelligent decision making in everything we do.

Job Description:

Your way to impact 
As one of the most senior engineers in the tram, you will be the go-to person for any technical issues and decisions internally, and partner with other teams and partners representing the team within a globally distributed org

Your day-to-day 

• Provide technical leadership in a high-performing engineering team to build and scale a highly secure, reliable, and performant AI/ML platform to enable a standardized end-to-end model development and production lifecycle with delightful user experience   

• Collaborate with cross-functional teams including product managers, data scientists, and software engineers to define platform requirements and priorities.  

• Architect scalable and efficient platform that enables data scientists to build, deploy, and monitor machine learning solutions end-to-end.  

• Ensure high code quality, performance, and reliability through rigorous testing, code reviews, and adherence to software development best practices.  

• Drive innovation by researching and incorporating state-of-the-art machine learning techniques, tools, and frameworks into the platform.  

• Effective communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner  

• Mentor team members, provide technical guidance, and foster a culture of collaboration, innovation, and continuous learning.  

• Stay up to date with the latest advancements in AI/ML technology and industry trends and leverage this knowledge to enhance the platform's capabilities

 What do you need to bring 
Qualifications: 

• Solid track record of over-achieving engineering and platform delivery and scaling targets in high volume,  innovative and fast-paced high-pressure environment; proven results in delivery on platform products.   

• Masters / bachelor’s in computer science, Computer engineering, Machine Learning, Data Mining, Information Systems, or related disciplines, with technical expertise in one or more of the above-mentioned areas or equivalent practical experience.  

• Strong proficiency in machine learning concepts, algorithms, and techniques, with hands-on experience in developing and deploying machine learning models.  

• Expertise in programming languages such as Python, Java, and proficiency in machine learning libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.  

• Stay up-to-date with the latest advancements in AI/ML technology and industry trends, and leverage this knowledge to enhance the platform's capabilities.  

• Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). 

• Strong communication, listening, interpersonal, influencing, and alignment driving skills; able to convey important messages in a clear and compelling manner  

• Demonstrated leadership abilities, including the ability to inspire, mentor, and empower team members to achieve their full potential. 

Preferred Qualifications   

• Experience building ML infrastructure or MLOps platforms or Decision platforms/Rule Engines. 

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

Who We Are:

to learn more about our culture and community.

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. For more information, visit  ,   and  .

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 .

Any general requests for consideration of your skills, please

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