ISC2

Machine Learning Engineer

• Build and maintain Python/Spark pipelines through bronze, silver, and gold layers
• Build semantic datasets and ML models that consume governed lakehouse data
• Explore data before modeling, develop and test features, and coordinate with stakeholders on worthwhile analytical questions
• Develop survival and time-to-event, forecasting, classification and propensity, sequence, recommender, and causal evaluation models
• Deploy models to production and manage experiment tracking, model registry, scheduled inference, and monitoring for drift and decay
• Deliver model outputs through governed semantic tables feeding dashboards and CDP systems
• Explain analytical results to business teams
• Take on applied LLM work, including structured extraction from free text and retrieval over governed data
• Build within security and governance requirements, including access controls, data protection, auditability, and human review
• Create reusable project templates, shared feature and evaluation code, and implementation standards
• Develop proofs of concept to validate data support, analytical approaches, and operational viability
• Perform miscellaneous duties as required

Lakehouse Machine Learning Engineer

Accounts Receivable

• Post and accurately apply customer payments received through ACH, wire transfer, lockbox, check, credit card, electronic remittance, and customer portals
• Match remittance details to customer accounts and open invoices
• Research and resolve unapplied or unidentified cash, missing payments, short payments, overpayments, deductions, and other payment discrepancies
• Reconcile daily cash postings to bank deposits, lockbox reports, credit card clearing accounts, and applicable general ledger accounts
• Support month-end close activities related to cash application
• Prepare and maintain accurate reconciliation records and supporting documentation
• Serve as the primary Cash Application contact for processing approved refunds
• Maintain cash application procedures, reconciliation documentation, exception research, adjustment support, and other records in accordance with company policies and audit requirements
• Analyze recurring cash application exceptions and recommend process improvements
• Meet daily processing and service-level expectations in a high-volume accounts receivable environment
• Support ERP and CMS implementations, enhancements, and upgrades through system testing and procedure and user-documentation updates
• Provide timely, professional service to internal and external customers through the case management system and AR mailbox
• Perform other duties as assigned

Lakehouse Machine Learning Engineer

AR Specialist – Cash Application