Financial AI Engineer
Tasks
- Automate research data extraction summarization
- Connect AI solutions to enterprise data sources
- Continuously improve AI Solutions
- Design secure governed access architectures
- Design, build, deploy AI applications
- Develop Retrieval-augmented generation solutions
- Evaluate emerging technologies
- Identify AI automation initiatives
- Integrate AI with enterprise planning systems
- Monitor strategic signals with AI
- Prototype and deploy AI solutions
Perks/Benefits
- Dental insurance
- Medical insurance
- Optional Disability Insurance
- Optional Supplemental Insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
AWS | Agent Frameworks | Artificial Intelligence | Azure | Cloud Computing | Cloud platform | Data Pipelines | Databases | Databricks | Document Intelligence | ERP | Embeddings | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Machine Learning | Microsoft Copilot | Microsoft Power | Microsoft Power Automate | Model Deployment | Orchestration Platforms | Power Automate | Power BI | Prompt engineering | Python | R | REST APIs | Retrieval-Augmented Generation | SQL | Scala | Semantic Retrieval | Snowflake | Spark | Vector Search | Workflow automation
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
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