Data Science Lead - AML Risk
Tasks
- Build investigator insight systems
- Build machine learning decisioning layers
- Deploy models to production
- Design operational feedback into automation systems
- Develop AML detection systems
- Develop control coverage frameworks
- Evaluate models against benchmarks
- Hire data science specialists
- Maintain scheduled data gathering and retraining pipelines
- Manage manual data labeling projects
- Mentor data science team members
- Optimize precision recall tradeoffs
- Package models into deployable libraries
- Produce data driven experiment results
- Provide production grade Python services
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Data labeling | Experimentation | Language Models | Language Processing | Large Language Models | Machine Learning | Model retraining | Natural Language | Natural Language Processing | Object-Oriented | Object-oriented programming | Precisión | Production Deployment | Python | Recall | Scheduled Jobs | Semi-Supervised Learning | Semi-supervised | Statistical Analysis | Supervised Learning | Unsupervised Learning
Education
N/A
Roles
Data Science | Data Science Lead | Engineer | Lead | Learning Engineer | ML Engineer | Machine Learning Engineer | Science Lead
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