Data Engineering and Development VP
Quincy, Massachusetts, United States
USD 120K-217K Executive-level Full Time
Tasks
- Build reusable libraries and scalable pipelines for AI evaluation
- Collaborate with cross functional teams for data driven workflows
- Define data architecture patterns and data lineage
- Design deploy evaluate machine learning and generative AI models
- Drive architecture decisions across governance performance security reuse
- Establish reusable frameworks evaluation pipelines scalable components
- Establish scalable data models integration standards data quality controls
- Lead design development deployment data engineering solutions
- Model investment data concepts including NAV positions transactions cash
- Prioritize initiatives manage delivery timelines align enterprise goals
- Promote responsible practices security compliance explainability
Perks/Benefits
Skills/Tech-stack
AI Evaluation | API Integration | Algorithms | Apache Spark | Automation frameworks | Azure OpenAI | Compliance | Custody Data | Data Architecture | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Structures | Databricks | Design Patterns | Distributed Systems | Document processing | Explainability | FastAPI | Financial Services | Financial services data | Fund accounting | Generative AI | Hugging Face | Intelligent agents | Java | Langchain | Machine Learning | Object-Oriented | Object-oriented programming | OpenAI | Orchestration | Pandas | PySpark | PyTorch | Python | Reconciliation | Reference Data | Security | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
Cities
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