remote
Senior AI Engineer - Knowledge Graphs - 9fin
AI Engineer
Lead the design and implementation of advanced knowledge graph solutions for debt‑market data, leveraging Python, graph databases, NLP, and machine learning to transform fragmented information into actionable insights for global financial institutions.
About the role
Key Responsibilities
- Architect and develop scalable knowledge graph pipelines that ingest, clean, and integrate heterogeneous debt‑market data from PDFs, APIs, and internal sources.
- Apply advanced NLP techniques to extract entities, relationships, and sentiment from unstructured documents and feed them into the graph model.
- Collaborate with data scientists to design and train machine‑learning models that enrich the graph with predictive insights and risk scores.
- Optimize graph queries and storage using graph database technologies (e.g., Neo4j, Amazon Neptune) to support real‑time analytics for 300+ institutional clients.
- Mentor junior engineers, conduct code reviews, and champion best practices in data engineering, version control, and CI/CD.
Requirements
- 5+ years of experience in AI/ML engineering with a focus on knowledge graphs or semantic technologies.
- Proficiency in Python, SQL, and graph query languages (Cypher, Gremlin).
- Hands‑on experience with NLP libraries (spaCy, NLTK, Hugging Face) and machine‑learning frameworks (scikit‑learn, PyTorch).
- Strong understanding of graph database design, indexing, and performance tuning.
- Excellent problem‑solving skills and ability to translate complex business requirements into technical solutions.
Skills
pythonnatural language processingmachine learning