Data Scientist for Knowledge Graphs

2 weeks ago

Singapore beBeeSoftware Full time $150,000 - $250,000
Software Engineer for Data Management

The Software Engineer for Data Management will be responsible for designing, developing and maintaining robust data retrieval systems to supply our Generative AI infrastructure with the organizational and systems knowledge they need from vast unstructured data corpuses.

This critical role will focus on designing, building and maintaining our internal knowledge graph, a foundational component for AI-driven capabilities.

Leveraging Large Language Models (LLMs) and vendor products, you will be instrumental in creating a unified, intelligent system that democratizes access to complex organizational data, enhances decision-making, and supports the firm’s strategic initiatives.

This includes ensuring conformance with the firms security and AI standards. You will also integrate our generative AI systems with the knowledge graph to enhance AI-driven reasoning, semantic search, and contextual data retrieval, ensuring accuracy and reducing hallucinations.

Responsibilities
  • Design, develop and maintain robust data retrieval systems
  • Lead the modeling and evolution of the knowledge graph
  • Ensure conformance with the firms security and AI standards
  • Integrate our generative AI systems with the knowledge graph
  • Collaborate closely with product managers, AI/ML engineers, and other stakeholders

You will work extensively with vendor products, configuring integrations with various internal data sources and leveraging capabilities to build a unified and intelligent enterprise data retrieval.

Requirements
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related technical field
  • Minimum 5 (for associate)/ 10 (for vice president) years of hands-on experience in data engineering
  • Proficiency in programming languages such as Python or Java
  • In depth knowledge of modern network stacks, ideally with proxies / gateways / load-balancing
  • Experience with cloud platforms (e.g., AWS, GCP, Azure)
  • Solid understanding of data structures, algorithms
  • Familiarity with SDLC processes and tools
About Us

We are a leading global investment banking, securities and investment management firm. Our mission is to transform how information is managed and retrieved across the firm, driving innovation and productivity through data and AI solutions.

We strive to provide best-in-class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products.

Benefits
  • Competitive compensation and benefits package
  • Opportunities for career growth and professional development
  • A diverse and inclusive work environment
  • Access to cutting-edge technology and tools

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