Artificial Intelligence & Machine Learning, Off (US Only)
BOSTON, United States
USD 120K-202K (estimate) Entry-level Full Time
Tasks
- Coordinate with data engineering teams to troubleshoot data pipelines and model inputs
- Create and manage user stories in Jira
- Create business requirements documents and data mapping documents
- Develop test and enhance machine learning models for AML sanctions screening transaction monitoring and alert prioritization
- Document model assumptions methodologies limitations and performance results for audit
- Monitor model performance and detect drift degradation and data quality issues
- Perform feature engineering including data exploration feature selection and transformation
- Perform hands on data analysis to identify patterns anomalies and risk indicators
- Support Agile delivery with user stories testing and release support
- Support user acceptance testing by validating model behavior
- Train evaluate and tune machine learning models using performance metrics
- Triaging issues during testing and resolving critical issues
- Validate model outputs by analyzing false positives false negatives and alert quality
Perks/Benefits
- 401k match
- Disability insurance
- Employee assistance program
- Employee networks
- Flexible work/life support
- Life insurance
- Medical/Dental/Vision insurance
- Paid time off
- Paid volunteer days
Skills/Tech-stack
Acceptance Testing | Agile | Alert prioritization | Anti-Money Laundering | Class imbalance | Data Analysis | Data Drift | Data Quality | Feature Engineering | FedWire | Jira | Know Your Customer | Machine Learning | Model Evaluation | Model Interpretability | Money Laundering | Precisión | Python | Recall | SQL | Sanctions screening | Supervised Learning | Swift | Transaction monitoring | Unsupervised Learning | User Acceptance | User Acceptance Testing
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Technology
Regions
Countries
States
Cities
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