ML Engineer / Data Scientist at 3H Partners

About the Role

We are seeking an exceptional ML Engineer / Data Scientist to design and implement our next-generation strategic intelligence system. You will play a crucial role in connecting business strategy ontologies and knowledge graphs with large language models like OpenAI, Anthropic and Gemini. This position offers a unique opportunity to work at the intersection of knowledge engineering, artificial intelligence, and business strategy. While prior experience is valued, we're primarily looking for intellectual horsepower, technical versatility, and genuine passion for knowledge representation systems.

Key Responsibilities:

Ontology & Knowledge Graph Development (40%)

• Design and develop comprehensive ontologies covering both company-specific strategic elements and industry-sector dynamics, following business strategy frameworks (SWOT, Porter's Five Forces, BCG Matrix, etc.)
• Create relationship taxonomies that capture complex strategic dependencies into formal knowledge structures
• Implement ontology schemas in Neo4j or similar graph database systems. Create graph algorithms and queries to identify strategic patterns and insights from data
• Build data pipelines to extract, transform, and load strategic data from various sources (e.g. LLMs own knowledge, structured data sources, unstructured documents)
• Balance theoretical rigor with practical applications in ontology design, to be validated with strategy experts

LLM Integration (30%)

• Design the technical architecture connecting knowledge graphs with LLMs like OpenAI, Anthropic and Gemini
• Develop context retrieval mechanisms that extract relevant subgraphs based on strategic queries
• Create prompt engineering templates that effectively incorporate knowledge graph structures
• Build response generation systems that combine graph analytics with LLM capabilities
• Implement feedback loops to improve the system's strategic reasoning

Backend Implementation & Collaboration (30%)

• Take ownership of technical components from concept to implementation. Present technical approaches, trade-offs and progress to stakeholders
• Collaborate with other developers to implement robust and scalable production systems
• Document architecture decisions and implementation details
• Work directly with consultants and product managers, to understand strategic frameworks and use cases