VP, Applied AI Engineer, AI Alpha Group
Tasks
- Build AI driven investment systems end to end
- Build data processing workflows extraction transformation integration
- Create technical documentation and collaborate across teams
- Deploy applications to production environments
- Design evaluation frameworks metrics and monitoring
- Develop full stack applications for backend and frontend
- Implement data quality checks lineage tracking and governance
- Implement production ready application components
- Manage relational vector and graph databases
- Perform feature engineering for AI models
- Translate product requirements into technical specifications
- Use AI native development tools for coding testing and troubleshooting
- Write unit, integration, and end-to-end tests
Perks/Benefits
Skills/Tech-stack
AWS | Data Governance | Data Modeling | Data Quality | Databricks | Django | ELT | Embeddings | FastAPI | Feature Engineering | Flask | Graph Databases | Kafka | LLM | Machine Learning | Metadata Management | Model Evaluation | PostgreSQL | Prompt engineering | Python | REST APIs | Spark | Testing | Vector Databases | Web Architecture
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
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