PayPal is looking to enhance its Finance FP&A Technologies by developing and executing strategic transformation programs and initiatives, and designing strategic engineering architecture from an AI/ML perspective to support its finance stakeholders.
Requirements
- Minimum of 5 years of relevant work experience
- Proven experience in developing and implementing solutions in machine learning and AI-related spaces
- Strong programming skills in languages such as Python, Java, or C++
- In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch)
- Experience with cloud services related to machine learning (Vertex AI, etc.)
- Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices
- Proven experience leading and delivering complex ML projects at production scale
Responsibilities
- Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML.
- Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering.
- Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP.
- Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms.
- Integrate AI/ML models into cloud applications and ensure seamless operation in production environments.
- Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML.
- Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases.
Other
- The nature of role is strategic, analytical and highly collaborative, working with team members across World and also as a liaison for transformation and AI/ML projects.
- Excellent problem-solving skills and the ability to work in a fast-paced environment
- Strong communication skills to effectively collaborate with team members and stakeholders
- Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning.
- Bachelor's degree or equivalent experience.