MTS 1, Machine Learning Engineer
- PayPal
- 7 to 12 Yrs
- Bengaluru
- 3 years ago
- Email to a friend
- Report this job
Job Description
At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. We re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.PayPal Customer Success Platform team is looking for an ML Engineer based In Bangalore. The candidate will have the opportunity to design and build new advanced capabilities and work on problems to enhance customer and employee experience Candidates should have a strong background in one or more of the following fields in AI: deep learning, graph mining, knowledge graph, ontology, natural language processing, computer vision, speech biometrics, etc.
Responsibilities
- Design and Develop innovative solutions for real-world, large scale problems to enhance customer & employee experience.
- Collaborate effectively with cross functional teams different geographical locations to ensure fruition of projects.
- Create new application ideas and show its proof of concept to evaluators through rapid prototyping.
- Conceive, design, prototype, and evaluate complex algorithms and statistical models that can be integrated into the spoken language system
- Propose ideas to improve artificial intelligence capabilities of Conversational AI platform
- Collaborate with the engineering and product teams
Minimum Qualifications
Postgraduate/Phd degree in computer science, artificial intelligence, or related technical field.
- Prior experience in one or more of the following fields in AI: deep learning, graph mining, knowledge graph, ontology, natural language processing, computer vision, speech biometrics, etc.
- Proficient in fundamental technical skills (Programming language like Java/Python/R; database language like SQL; Experienced in working with Hadoop, Map-Reduce, Hive, Pig)
- Experience with one or more deep learning libraries and platforms (e.g., TensorFlow, PyTorch, etc).
- Practical experience in one or more of the following areas: machine learning and deep learning applied to natural language understanding, machine learning and deep learning applied to sequence to sequence (Seq2Seq) learning
- Strong appetite for applying and running experiments leveraging the latest and greatest research in sequence to sequence (Seq2Seq) learning or other natural language understanding tasks, with the goal of production readiness
- General working understanding of spoken natural language understanding or conversational systems and its various components
- 7+ years of experience in software development and architecture .
Preferred Qualifications
- Deep expertise in leveraging semantic knowledge graphs for natural language understanding, inference and reasoning.
- Strong track record of developing novel and scientifically sound solutions to solve real world problems
- Strong appetite for applied research, exploration, quick prototyping, offline and online experimentation with a goal towards production readiness.
- Practical experience in one or more of the following areas: natural language understanding, inference and reasoning, semantic knowledge graphs, machine learning, multi-modal dialog, and conversational systems.
For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal s 400 million active account holders the confidence to connect and transact in new and powerful ways. 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.
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.
R0078489 ,
Employement Category:
Employement Type: Full timeIndustry: Internet / E-Commerce
Role Category: General / Other Software
Functional Area: Not Applicable
Role/Responsibilies: MTS 1, Machine Learning Engineer
Contact Details:
Company: PayPal Holdings IncLocation(s): Bengaluru
+ View Contact
Fraud Alert to job seekers!
₹ 9 - 18 Lakh/Yr
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
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in