PayPal Staff Machine Learning Engineer France, Auvergne-Rhône-Alpes 819280375
Essential Responsibilities:
olvereal-world payments problems with AI and ML, bringing deep technicalexpertiseand product thinking to areas such asauthorization rate,cost optimization, availability improvement
Enable fasterdevelopment anddeployment cycles and robust model operations by integrating industry-standardMLOps
Be a thought leader and architect scalable, production-gradeAI/ML systems for mission-criticalprojects
Mentor and lead junior engineers raising the technical bar for the team.
Minimum Qualifications:
Master’s degree in Computer Science, Data Science, Engineering, or a related field.
8+ years of experience developing and deploying ML models in production environments.
Preferred Qualification:
Strong understanding of supervised and unsupervised learning,deep learning algorithms,model evaluation, and algorithm tuning.
Familiarity with agenticand multi agentframeworks (e.g.,LangChain,LangGraph,ReAct, or similar) and the basics ofLLMOpsconcepts like observability, routing, state management, and modular agents.
Proven experience working with tabular and textual data, including advanced preprocessing techniques.
in Python (preferred) and Java, with hands-on experience building RESTful APIs and integratingAI/MLmodelsinto live services.
Solid grasp of containerization (Docker, Kubernetes), andMLOpsframeworks (e.g.,MLflow, TFX, or Kubeflow),streaming data systems (e.g., Kafka, Flink) and real-time ML inference.
Demonstrated experience in system architecture, solution design, and building scalableAI/ML systems.
Strong communication
Our Benefits:
Any general requests for consideration of your skills, please
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