- Job Description: PayPal Hiring Machine Learning Engineer
- Job Title: Machine Learning Engineer
- Company: Paypal
- Degree: B.Tech/B.E
- Salary: INR 3-7/- LPA
- Location: Chennai, India
- Experience: 2-4 years of Experience
Company Overview:
PayPal is a global chief in online bills, permitting virtual and cellular payments on behalf of customers and investors international. With a dedication to innovation, PayPal offers a big form of financial services and products.
The corporation is pushed via its mission to democratize monetary offerings, ensuring that everyone has access to the monetary gadget. PayPal’s workplaces in Chennai are a hub of innovation, housing a number of the brightest minds in a generation.
Position Overview: Machine Learning Engineer
PayPal is searching for an expert and advocated Machine Learning Engineer to sign up for our dynamic crew in Chennai. As a Machine Learning Engineer, you could play a crucial characteristic in developing and imposing tool reading fashions that energy PayPal’s products and services.
You will paintings intently with information scientists, software program engineers, and product managers to create scalable solutions that stress corporation boom and decorate character memories.
Key Responsibilities: Machine Learning Engineer
1. Model Development and Implementation:
- Design, expand, and set up tools to get to know models to treat complicated issues associated with fraud detection, threat control, customer personalization, and additional.
- Collaborate with statistics scientists to select appropriate algorithms, perform characteristic engineering, and optimize version overall performance.
- Implement gadget studying pipelines that encompass information preprocessing, version education, validation, and deployment.
2. Data Analysis and Processing:
- Work with large datasets, cleaning and transforming statistics to make them suitable for device-gaining knowledge of models.
- Utilize statistical and tool analyzing techniques to analyze facts, come to be aware of traits, and make data-driven guidelines.
- Partner with data engineering teams to ensure the supply of remarkable records for model improvement.
3. System Integration:
- Integrate device mastering models into PayPal’s gift structures and programs, making sure seamless operation in inner production environments.
- Collaborate with software program software software engineers to position into effect model inference APIs and installation fashions in a scalable manner.
- Monitor version common typical overall performance in production, addressing any issues related to the accuracy, latency, or machine effect.
4. Research and Innovation:
- Stay updated on the modern improvements in device reading, artificial intelligence, and facts technological know-how.
- Conduct studies to explore new techniques, gadgets, and technology that may be applied to beautify PayPal’s services and products.
- Participate in inner and out of doors systems gaining knowledge of groups, contributing to the open-deliver ecosystem, and sharing information with buddies.
5. Collaboration and Communication:
- Work cautiously with waft-sensible businesses, which incorporate product manipulation, engineering, and agency stakeholders, to recognize necessities and translate them into device-studying solutions.
- Communicate complicated technical concepts to non-technical stakeholders smoothly and concisely.
- Participate in code reviews, information-sharing lessons, and group meetings to foster a collaborative and inclusive artwork environment.
Qualifications: Machine Learning Engineer
Educational Background:
A Bachelor’s or Master’s diploma in Computer Science, Data Science, Statistics, Mathematics, or an associated region. A Ph.D. In an applicable location is a plus.
Technical Skills:
Proficiency in programming languages together with Python, R, or Java.
Experience with gadget analyzing frameworks and libraries which includes TensorFlow, PyTorch, Scikit-observe, or comparable.
Strong facts of algorithms, records structures, and statistical strategies.
Experience with large records technology together with Hadoop, Spark, or comparable is a bonus.
Familiarity with cloud systems (e.g., AWS, Google Cloud, Azure) and containerization generation (e.g., Docker, Kubernetes).
Experience:
2+ years of revel in growing and deploying systems gaining knowledge of models in a manufacturing environment.
Experience in monetary offerings, e-commerce, or a related agency is proper.
Why Join PayPal Machine Learning Engineer?
- Innovation: Be a part of an agency that is at the main fringe of digital bills and the financial era, the use of innovation inside the corporation.
- Impact: Your paintings will immediately impact thousands and thousands of customers globally, contributing to PayPal’s challenge to democratize monetary services.
- Growth: PayPal offers enough opportunities for expert boom, with entry to non-stop mastering, improvement applications, and professional development.
- Culture: Join a numerous and inclusive place of work that values creativity, collaboration, and a determination to excellence.
How To Apply for Machine Learning Engineer?
Interested candidates are invited to use using way of the usage of submitting their resume and a cover letter detailing their applicable enjoyment and interest in the feature.
Shortlisted candidates may be contacted for an initial interview, determined via using technical tests and in addition interviews with the hiring team.
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