Found.dev
Role Highlights
Languages used
Python
SQL
Key skills
Data Science
Distributed Systems
Product Design
Financial Services
Data Structures
Web Services
SDLC
Control Systems
VCS
Backend
Pivotal
Testing
Operations
Architecture
SOA
NOSQL
Cloud
Security
Tools, Libraries and Frameworks
Git
AWS
GCP
Azure
Django
Flask
Description
The role involves developing and deploying machine learning models. The individual will be responsible for building data pipelines and infrastructure to support these models. They will also contribute to the research and implementation of new AI techniques. The position requires collaboration with cross-functional teams to integrate AI solutions into existing products.
Required Qualifications and Skills
The role requires proficiency in Python and SQL for data manipulation and model development. Experience with cloud platforms such as AWS is necessary. Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes is also required. The position necessitates expertise in machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn. A strong understanding of MLOps principles and data engineering practices is essential.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
PayPal
Description
We're championing possibilities for all by making money fast, easy, and more enjoyable. Our hope is unlock opportunities for people in their everyday lives and empower the millions of people and businesses around the world who trust, rely, and use PayPal every day.
For customer service, find us on Twitter at AskPayPal. https://twitter.com/AskPayPal
For employment opportunities, check out our job openings in the 'Jobs' tab. We're an equal opportunity employer that welcomes diversity, and offer generous benefits to help you thrive at work and in your free time.
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