Finding the best job has never been easier
PayPal Director AI Machine Learning Architect France, Auvergne-Rhône-Alpes 220979643
Share
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.
PayPal Data Architecture team seeks a highly skilled Architect with AI/ML and Data expertise to design and implement secure, high-performing end-to-end data solutions for fintech initiatives. You'll leverage your expertise in various data storage technologies, including cloud platforms and AI/ML specific solutions, to build a robust data platform that empowers our customers. Partnering with business units, you'll translate their needs into AI/ML solutions, architecting scalable and secure infrastructure for diverse data types, all while ensuring compliance with financial regulations.Job Description:
in AI/ML to join us in designing and implementing secure, high-performing data solutions.
What You'll Do
In this role,be a trusted advisor to business units, partnering with product engineering teams to architect data solutions thathigh priorityfintech initiatives.
Core Responsibilities
Design and implementreliable & scalableAI/ML-poweredsolutions
Translate business problems in the financial domain into technical solutions that leverage machine learning.
Design data processing pipelines toefficientlyingest, store, and prepare data for AI/MLtraining andsimulation.
Integrate AI/ML models into existing fintech applications and workflows.
Document architectural decisions, design patterns and best practices.
Architect Scalable and Secure Data Infrastructure
Design and implement data storage solutions for various data types (structured, unstructured, semi-structured) suitable for AI/ML (vectorization, embedding creation, model training) on cloud platforms like GCP or Azure.
Leverage expertise in containerization technologies (Docker, Kubernetes) to manage AI/ML workloads on the cloud.
Ensure your data architectures adhere to security best practices for cloud-based AI/ML deployments.
Demonstrate and share knowledge of AI/ML Platforms and Tools
Possess in-depth experience with Vertex AI, including its tools for data management, model training (AutoML and custom training),modeldeployment,operations and monitoring.
Understand the capabilities of OpenAI's APIs relevant to fintech needs.
Provide guidance and mentorship to engineers.
Communicate technical and non-technical concepts effectively to alltechnology and business stakeholders.
Demonstrate Hybrid Data Architecture Expertise
Craft solutions that seamlessly integrate on-premises, cloud-based, and hybrid data storage options foroptimal data management across the organization.
Support Data Modeling and Governance
Design data structures and access patterns that meet both functional (aligning with business needs) and non-functional requirements (prioritizing security, availability, performance, scalability) to create a robust and user-friendly data platform.
Ensure your data architectures and designs adhere to compliance and governance standards for AI/ML models in the financial sector (e.g., explainability, fairness).
Qualifications
5+ years of experience in Senior Leadership
Proven experience as a Data Architect with a focus on AI/ML in the financial sector.
Strong understanding of data management principles and best practices.
Experience designing and implementing data pipelines for AI/ML projects.
In-depth knowledge of cloud platforms like GCP or Azure for data storage and management.
in containerization technologies (Docker, Kubernetes).
Clear visionfor architecture designs andgood communicationskillstoarticulatethemto all levels of stakeholders.
Experience with Vertex AI and/or OpenAI is a plus.
Why Join Us?
Be at the forefront of building a robust and scalable data platform that empowers our customers in the financial sector.
Collaborate with talented engineers and data scientists to create innovative AI/ML solutions.
Work in a fast-paced and dynamic environment with a focus on continuous learning and growth.
Travel Percent:
The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .
The U.S. national annual pay range for this role is
Any general requests for consideration of your skills, please
These jobs might be a good fit
