Job description:-
As a Machine Learning Scientist, you will pioneer the development and implementation of present day algorithms and models. Your role encompasses researching, designing, and deploying machine-studying solutions to resolve complicated issues throughout diverse domain names. You’ll collaborate intently with go-practical teams to perceive possibilities, acquire and examine data, and iterate on models for the choicest overall performance. Your know-how in statistical analysis, deep mastering, and predictive modeling will pressure innovation and contribute to the development of synthetic intelligence. Machine Learning Scientist You’ll also live abreast of enterprise trends and rising technology, ensuring our organization remains at the vanguard of machine studying and mastering innovation.
- Job Title:- Machine Learning Scientist
- Degree:- Bachelors/Masters
- Location:- Bengaluru
- Experience:- 4 – 9 years
- Salary:- Not Disclosed
Your way to impact:-
Join PayPal as a Machine Learning Scientist and drive impactful initiatives aimed at elevating customer satisfaction and retention. As a key member of the Customer Success Data Science team within the Global Analytics Data Science (GADS) organization, you’ll spearhead the development of innovative machine learning models and algorithms.Machine Learning Scientist Your focus on leveraging AI/ML-driven automation and Natural Language Processing techniques will revolutionize how we address customer pain points across diverse channels. Your expertise will empower PayPal to deliver personalized, proactive, and efficient customer service solutions, cementing our commitment to providing a seamless experience for users worldwide.
Your day to day for Machine Learning Scientist
- – Spearhead the layout and development of device gaining knowledge of fashions and algorithms to raise purchaser satisfaction, retention, and normal enjoy.
- – Apply statistical and device learning strategies to analyze client statistics, uncovering pertinent styles and developments.
- – Collaborate with move-practical teams to translate insights into actionable strategies for enhancing purchaser stories.
- – Stay updated on rising ML technologies and methodologies, undertaking studies and experimentation to force ongoing innovation.
- – Mentor and coach junior crew participants, supplying steering on ML high-quality practices and fostering a collaborative team environment through code critiques and assist.
What do you need to bring for Machine Learning Scientist:-
- – Hold a Bachelor’s, Master’s, or Ph.D. In Computer Science, Statistics, Mathematics, or a associated area.
- – Demonstrate over 4 years of palms-on enjoy in Machine/Deep gaining knowledge of and Natural Language Processing.
- – Exhibit proficiency in programming languages like Python, at the side of information in ML Frameworks together with PyTorch.
- – Possess a strong comprehension of machine mastering algorithms and techniques, coupled with realistic involvement in model
- – development and evaluation.
- – Preferably, have familiarity with Large Language Models (LLMs) like GPT, BERT, T5, and other transformer-based architectures.
- – Showcase a confirmed music record of turning in actionable insights and steering business impact through records-driven selection-making.
- Data Science & Machine Learning – Other
- FinTech / Payments
- Data Science & Analytics
- Full Time, Permanent
- Data Science & Machine Learning
About Company:-
PayPal, a worldwide chief in on line payments, revolutionizes the manner humans and groups transact securely and without problems throughout borders. Founded in 1998, PayPal has end up synonymous with believe and efficiency in virtual payments, boasting over four hundred million lively user debts international.
At its middle, PayPal offers a unbroken platform that enables people and businesses to ship and acquire cash electronically, whether for personal purchases, online commerce, or move-border transactions. With its consumer-friendly interface and strong security features, PayPal has emerged as the desired preference for millions of customers and merchants alike.
Beyond its essential price offerings, PayPal constantly innovates to meet the evolving needs of its customers. Through acquisitions like Venmo and Braintree, PayPal has increased its suite of offerings to consist of peer-to-peer bills, cell commerce solutions, and price processing offerings for groups of all sizes.
Moreover, PayPal is dedicated to riding financial inclusion and empowerment globally. Through projects like PayPal Giving Fund and PayPal’s commitment to supporting small businesses, the employer strives to create nice social effect and foster monetary growth in groups around the world.
In essence, PayPal’s willpower to innovation, safety, and inclusivity cements its role as a main force within the digital bills panorama, shaping the destiny of trade for future years.
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