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PayPal Machine Learning Engineer France, Auvergne-Rhône-Alpes 633049886
Yesterday
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• Strong proficiency in Python for data analysis, machine learning, and automation.
• Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
• Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
• Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
• Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
• Ability to work cross-functionally with engineering, product, compliance, and operations teams.
• Solid understanding of supervised and unsupervised AI/machine learning methods (e.g., XGBoost, LightGBM, Random Forest, clustering, isolation forests, autoencoders, neural networks, transformer-based architectures).
• Experience in payment fraud, AML, KYC, or broader risk modeling within fintech or financial institutions.
• Experience developing and deploying ML models in production using frameworks such as scikit-learn, TensorFlow, PyTorch, or similar.
• Hands-on experience with LLMs (e.g., OpenAI, LLaMA, Claude, Mistral), including use of prompt engineering, retrieval-augmented generation (RAG), and agentic AI to support internal automation and risk workflows.
• Ability to work cross-functionally with engineering, product, compliance, and operations teams.
Essential Responsibilities:
- Assist in the development and optimization of machine learning models.
- Preprocess and analyze datasets to ensure data quality.
- Collaborate with senior engineers and data scientists on model deployment.
- Conduct experiments and run machine learning tests.
- Stay updated with the latest advancements in machine learning.
Minimum Qualifications:
- Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
- Familiarity with ML frameworks like TensorFlow or scikit-learn.
- Strong analytical and problem-solving skills.
Our Benefits:
Any general requests for consideration of your skills, please
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