Corporate Planning & Management, Data Engineering, New York, Associate
New York, NY, United States
USD 130K-250K (estimate) Mid-level Full Time
Tasks
- Build and maintain knowledge graph and RAG systems
- Build robust services for financial planning expense management and risk platforms
- Collaborate with finance procurement product and risk stakeholders
- Design develop and maintain software and data solutions across lifecycle
- Establish governance frameworks with logging explainability and auditability
- Leverage AI tools for code generation and LLM automation
- Perform code reviews for quality and best practices
- Stay current with AI ML platforms and software engineering practices
- Take technical ownership and drive feature delivery
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Auditability | CI/CD | Data Modeling | Data Pipelines | Distributed Systems | Elasticsearch | Embeddings | Explainability | Java | JavaScript | Knowledge graphs | Langchain | Language Models | Large Language Models | Logging | MLOps | Machine Learning | NumPy | OpenSearch | Pandas | Prompt engineering | PySpark | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
Roles
Regions
Countries
States
Cities
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