09.Machine Learning Engineer

PayPay is seeking an experienced Machine Learning Engineer with a strong background in Natural Language Processing (NLP) and building end-to-end ML systems. The ideal candidate will have deep expertise in information retrieval/search, vector databases, and LLMOps.

Requirements

• 6+ years of professional experience in machine learning engineering
• Educational background in Computer Science, Engineering, Mathematics, or a related field
• Familiar with LLM orchestration (LangChain/LlamaIndex or in-house)
• Core NLP/RAG Skills: Deep understanding of Natural Language Processing (NLP), including Transformer architectures (e.g., BERT, Sentence-Transformers) and embedding techniques
• Hands-on experience with Vector Databases and/or semantic search technologies
• Expertise in ML frameworks like Hugging Face Transformers, PyTorch, or TensorFlow
• Experience with RAG frameworks like LangChain or LlamaIndex is strongly preferred
• Practical experience with evaluation - Golden Sets, A/B testing and RAG specific metrics
• Good understanding of supervised and unsupervised learning and ensemble methods
• Proficiency with libraries like scikit-learn and XGBoost
• Experience in the FinTech industry or with financial/credit data is a significant plus
• Core Tech Stack: Proficiency in Python. (Java/Scala is a plus)
• Strong knowledge of database management systems (e.g., MySQL, PostgreSQL), ETL processes, and SQL
• Experience with MLOps practices and tools like Docker, Kubernetes, and cloud platforms (AWS preferred)
• Familiarity with tools like Apache Spark

Benefits

• Competitive salary
• Opportunities for growth and professional development
• Collaborative and dynamic work environment
• Challenging and exciting projects