Carefull - Data Scientist / AI Engineer
Tasks
- Assess LLM agents and practical applications
- Build AI detection features end to end
- Build data enrichment pipelines
- Collaborate with business stakeholders to measure impact
- Deploy AI systems to production and iterate
- Design detection logic for fraud patterns
- Develop evaluation frameworks for model performance
- Optimize AI pipeline accuracy latency cost
- Perform error analysis and model comparisons
- Research fraud scam typologies
Perks/Benefits
- N/A
Skills/Tech-stack
ACH | AWS Bedrock | AWS Cloud | AWS Cloud Development Kit | AWS Lambda | AWS cloud development | Agent Orchestration | Amazon DynamoDB | Amazon Redshift | Anomaly Detection | Cloud Development Kit | Confusion matrix | Cost Optimization | Data Enrichment | Data Pipelines | Entity Extraction | Error Analysis | Evaluation metrics | Fraud Detection | Identity theft | Identity theft protection | LLM Evaluation | Langchain | Langgraph | Language Models | Language Processing | Large Language Models | Machine Learning | Merchant Categorization | Natural Language | Natural Language Processing | POS data | Precisión | Python | Recall | Series analysis | Statistical significance | Tabular Data | Time Series | Time Series Analysis | Wire Transfers | Zelle
Education
N/A
Roles
AI | AI Engineer | Data Scientist | Engineer | Scientist
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