Applied Data Scientist
Tasks
- Apply AI to payments and risk data
- Build and deploy production AI systems
- Collaborate with data engineering and infrastructure teams
- Develop machine learning models for fraud detection
- Lead engineering standards for the team
- Monitor data pipeline performance
- Research and experiment with AI and machine learning
- Troubleshoot data pipeline issues
Perks/Benefits
Skills/Tech-stack
Agent Frameworks | Automatic Evaluation | Context engineering | Data Pipelines | Fine Tuning | Fraud Detection | Generative AI | Google ADK | Langchain | Language Models | Large Language Models | MLOps | Machine Learning | Python | Risk Management
Education
N/A
Roles
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