Machine Learning Engineer at Paypal, A Machine Learning Engineer in Bengaluru at PayPal performs a crucial feature in leveraging AI and facts technological know-how to optimize transaction performance and revenue boom. The position requires deep ML understanding, a facts-driven method, and collaboration with circulate-purposeful organizations to amplify and install scalable AI solutions. Machine Learning Engineer at Paypal Responsibilities consists of reading charge processing records, implementing predictive models, and working closely with engineering to ensure strong deployment. The position additionally requires skill ability in SQL, cloud computing, and programming languages like Python or R. The perfect candidate will force innovation and enhance PayPal’s device learning capabilities, immediately impacting company outcomes.
- Machine Learning Engineer
- Experience: 2Â –Â 7Â years
- Salary: Not Disclosed
- Location: Bengaluru
- Qualification: Any Postgraduate
- Data Science & Analytics
- Full Time,
Walk-in-Interview Machine Learning Engineer at Paypal | 2 – 7 years
The Machine Learning Engineer at PayPal is liable for developing current AI/ML solutions that energy seamless transactions, fraud detection, and developer enjoy improvements. By leveraging statistics-area techniques and taking part with key stakeholders, the ML Engineer complements PayPal’s capability to optimize authorization expenses and decrease transaction prices. PayPal is an international leader in digital bills, supplying consistent and inexperienced solutions for tens of tens of millions of customers globally. With a robust emphasis on innovation and AI-pushed enhancements, the Machine Learning Engineer in Bengaluru may want to have the opportunity to paint on impactful initiatives that shape the future of digital commerce.
About CompanyÂ
PayPal is a leading global virtual bills platform that allows loads of businesses and consumers to soundly conduct financial transactions. Founded in 1998, PayPal has revolutionized the way people deliver and obtain cash online, supplying a persevering and man or woman-friendly enjoy. With operations in over 200 markets, PayPal presents services that incorporate digital wallets, fee processing, service provider solutions, and AI-pushed fraud detection.
Innovation is at the heart of PayPal’s challenge, leveraging synthetic intelligence and device learning to enhance protection, optimize transactions, and enhance character experience. The commercial enterprise enterprise usually invests in modern technology to streamline online payments, making sure consolation and protection for groups of all sizes. PayPal also champions financial inclusion with the useful resource of providing services that empower small and big organizations to scale their operations successfully.
As an organization dedicated to accountable innovation, PayPal prioritizes transparency; customer bearing in mind, and moral AI programs. Headquartered in San Jose, California, with global organizations going for walks in tech hubs like Bengaluru, PayPal remains at the leading edge of monetary technology, driving the future of virtual trade with seamless fee solutions and AI-powered improvements.
Key Responsibilities
- Develop AI/ML Solutions – Build and put into effect superior ML fashions to optimize price processing and transaction efficiencies.
- Collaborate with Product Managers – Work cautiously with stakeholders to discover commercial business enterprise desires and propose ML-driven enhancements.
- Deploy ML Models – Partner with engineering groups to make certain seamless integration and deployment of AI/ML solutions.
- Data Analytics & Visualization – Conduct deep dive facts analyses and create insightful visualizations to power selection-making.
- Continuous Monitoring – Establish tracking mechanisms and real-time indicators to reveal ML model ordinary performance and corporation metrics.
Required Skills
- SQL & Data Visualization – Proficiency in querying big datasets and visualizing insights.
- Machine Learning Expertise – Hands-on experience in developing and deploying ML fashions.
- Analytical Thinking – Ability to behavior in-depth assessment and gift findings effectively.
- Collaboration & Communication – Strong stakeholder control and verbal exchange talents.
- Innovation & Research – Ability to analyze technical troubles and advocate revolutionary solutions.
Education & Qualifications
- Bachelor’s or Master’s diploma in Computer Science, Data Science, or associated challenge.
- Strong basis in ML frameworks together with TensorFlow, PyTorch, or Scikit-study.
- Experience with cloud platforms like AWS, GCP, or Azure.
- Knowledge of Python, R, or similar programming languages.
- Hands-on revel in ML model deployment in manufacturing environments.
Role Overview Machine Learning Engineer in Bengaluru
The Machine Learning Engineer at PayPal may be liable for developing and deploying AI/ML answers that beautify fee processing, developer enjoyment, and microbusiness operations. The function requires close collaboration with engineering, analytics, and product businesses to optimize modern-day ML models, make certain clean deployments, and constantly screen typical performance. The ideal candidate could have sturdy information in tool studying, records assessment, and strategic desire-making to enhance PayPal’s industrial organization metrics.
Benefits of PayPal
- Comprehensive Health Benefits – PayPal offers big healthcare plans for defensive clinical, dental, and imaginative and prescient dreams.
- Work-Life Balance – Flexible painting arrangements, which encompass faraway alternatives, sell healthful work-lifestyle stability.
- Stock & Financial Perks – Employees revel in competitive compensation, stock alternatives, and retirement plans.
- Career Growth & Learning – PayPal gives possibilities for non-prevent studying, mentorship, and prprofessionalevelopment.
- Diversity & Inclusion Initiatives – A strong dedication to growing an inclusive place of job with various skills and views.
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