Machine Learning Engineer
- PayPal
- 5 to 10 Yrs
- Bengaluru
- 5 years ago
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Job Description
Fueled by a fundamental belief that having access to financial services creates opportunity, PayPal (NASDAQ: PYPL) is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy. Our open digital payments platform gives PayPal s 375 million active account holders the confidence to connect and transact in new and powerful ways, whether they are online, on a mobile device, in an app, or in person. Through a combination of technological innovation and strategic partnerships, PayPal creates better ways to manage and move money, and offers choice and flexibility when sending payments, paying or getting paid. Available in more than 200 markets around the world, the PayPal platform, including Braintree, Venmo and Xoom enables consumers and merchants to receive money in more than 100 currencies, withdraw funds in 56 currencies and hold balances in their PayPal accounts in 25 currencies.The PayPal Customer Success Organization is looking for a Strong Machine learning Engineer to join its Customer Self Service Solutions team .This team is responsible for design and develop self service solutions to provide assistance that enables the customers to successfully use PayPal products . We are a strategic part of the PayPal business plan to enable operational efficiencies and revenue enablement through sefservice opportunities through chatbot, Voice, Contextual Help and NLP Management. As a member of this team, you will assist us in building the world class Self service solutions by leveraging PayPal Platforms/products. We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.
The PayPal Customer Success Organization is looking for a Strong Machine learning Engineer to join its Customer Self Service Solutions team .This team is responsible for design and develop self service solutions to provide assistance that enables the customers to successfully use PayPal products . We are a strategic part of the PayPal business plan to enable operational efficiencies and revenue enablement through sefservice opportunities through chatbot, Voice, Contextual Help and NLP Management. As a member of this team, you will assist us in building the world class Self service solutions by leveraging PayPal Platforms/products. We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.
- 5+ Years of Experience Desired
- Discovering, analyzing, structuring and mining data
- Statistical hypotheses validation and model performance analysis
- Developing neural network models supporting business use cases
- Design and coordinate implementation of DL based solutions for production usage
- Deep understanding of data mining algorithms and statistical methods
- Experience in successfully applying machine learning to real-world problems
- Strong knowledge of Deep Learning frameworks: Keras, Tensorflow, PyTorch, etc
- Knowledge in python and packages for data analysis (scipy, numpy, pandas, matplotlib)
- Proficient in one or more of programming languages Scala, Java, C++
- Strong knowledge of extracting and processing data with RDBMS/NoSQL
- Experience with one or more Container-ecosystem (Docker, Mesos, Kubernetes) will be a plus
- Good communication skills and team player attitude
- Experience in Natural Language Processing/Understanding using deep neural networks ( RNN (LSTM, GRU) / CNN) is a plus
- Experience in working with GPU, profiling/low-level optimizations, Cuda/CuDNN is a plus
- Experience with BigData ecosystem Hadoop, Hive, Spark/PySpark is a plus
We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.
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 pa**************************n@pa***l.com.
R0067676 ,
Employement Category:
Employement Type: Full timeIndustry: Internet / E-CommerceRole Category: DBA / DatawarehousingFunctional Area: Not ApplicableRole/Responsibilies: Machine Learning EngineerContact Details:
Company: PayPal Holdings IncLocation(s): Bengaluru
PayPal
PayPal Holdings, Inc. is an American company operating a worldwide online payments system. Online money transfers serve as electronic alternatives to traditional paper methods like checks and money orders
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