Machine Learning Engineer Job in Bengaluru to build, deploy, and optimize tool mastering solutions that right away affect the enterprise’s revenue and margin. In this role, A Machine Learning Engineer at PayPal is important you’ll partner with product managers to perceive organization wishes and apply revolutionary AI/ML techniques to optimize charge processing, transaction costs, and small industrial agency integration. You’ll be worried about facts evaluation, device getting-to-know model development, and deployment, in addition to taking part with severa teams throughout the organization to ensure the success of your initiatives. This is an interesting opportunity to work on initiatives that have an enormous impact.
- Job Description: Machine Learning Engineer Job in Bengaluru
- Role: Machine Learning Engineer
- Company: Paypal
- Experience: 2 – 7 Years
- Salary: Not disclosed
- Location: Bengaluru
Machine Learning Engineer Job in Bengaluru
PayPal is Hiring a Machine Learning Engineer in Bengaluru to play a pivotal function in shaping the future of its AI/ML answers. The characteristic makes a specialty of deploying progressive gadgets studying fashions, going for walks carefully with product and engineering businesses, and ensuring the non-forestall tracking and optimization of deployed solutions. As a Machine Learning Engineer at PayPal, you may make contributions to enhancing authorization charges, lowering transaction costs, and enhancing the general experience for every small and huge enterprise. This possibility gives dynamic, fast-paced surroundings where your work will at once impact income and margins for PayPal.
About Company
PayPal is a leading worldwide payment platform, permitting agencies and purchasers to make digital transactions easily and easily see energetic debts globally, PayPal is revolutionizing the way human beings save, pay, and receive a commission. It gives a huge sort of economic offerings, which include online payments, peer-to-peer transfers, and corporation answers. Through everyday innovation and technological development, PayPal has installed itself as a trusted leader in virtual finance, driving comfort and protection for tens of tens of millions of customers. At PayPal, employees enjoy the hazard of toofaintings in a collaborative, fast-paced environment that fosters creativity and growth.
Roles and Responsibilities For PayPal is Hiring a Machine Learning Engineer:
AI/ML Solution Development: Design and amplify contemporary system studying models that optimize PayPal’s products and services, specifically in rate processing and small agency integration.
Cross-Team Collaboration: Work with product managers, engineering groups, and information scientists to ensure the successful deployment and monitoring of system analyzing solutions.
Optimization and Monitoring: Continuously optimize gift ML models to improve metrics consisting of authorization costs, latency, and transaction fees.
Data Analysis and Strategy: Conduct in-intensity facts evaluation to end up aware of traits and business insights, to pressure choice-making and prioritization.
Research and Innovation: Stay up to date the current-day ML research and provide innovative solutions to technical worrying conditions confronted with the aid of the use of the commercial enterprise enterprise.
Education and Qualifications:
Bachelor’s or Master’s Degree: A diploma in Computer Science, Engineering, Statistics, Data Science, or a related area.
Advanced Knowledge of ML Algorithms: Deep understanding of machine mastering techniques in conjunction with supervised getting to know, unsupervised studying, deep learning, and reinforcement gaining knowledge.
Experience in Data Engineering: Knowledge in constructing statistics pipelines and working with huge datasets is important for effective device-gaining knowledge of deployment.
Strong Analytical Skills: Ability to carry out entire analyses on massive datasets and derive significant insights.
Communication Skills: The capacity to effectively communicate findings and techniques to every technical and non-technical stakeholder.
Skills as Machine Learning Engineer at PayPal:
Proficiency in SQL: Strong SQL skills to govern and question big datasets.
Machine Learning Frameworks: Experience with tools which includes TensorFlow, PyTorch, Scikit-learn, or other ML frameworks.
Data Visualization: Expertise in visualization equipment like Tableau, Power BI, or Matplotlib to create smooth reports and presentations.
Programming Languages: Proficiency in Python, R, or Java is important for growing tool-mastering models.
Collaboration Skills: Ability to work efficiently in collaborative group surroundings, interacting with stakeholders across a couple of departments.
Benefits at PayPalÂ
Competitive Salary: PayPal offers an appealing revenue package deal that is aligned with enterprise standards.
Health and Wellness Programs: Comprehensive medical, dental, and vision insurance for employees and their families.
Retirement Plans: Access to 401(ok) plans with employer healthy and special retirement financial savings alternatives.
Paid Time Off: Generous tour days, sick departures, and vacations to hold a healthy work-life balance.
Employee Stock Purchase Program (ESPP): Employees can buy PayPal inventory at a reduced fee, assisting them percent within the organization’s achievement.
In the end, as a Machine Learning Engineer at PayPal, you may play an important feature in the improvement, deployment, and optimization of cutting-edge AI/ML answers that pressure commercial agency impact. If you are captivated with records of technological know-how and seeking out a tough opportunity, this role offers suitable surroundings for boom and innovation.
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