AI/ML Engineer

To support a data migration program, the full-time AI/ML Engineer will design, build, and deploy AI-driven anomaly detection and reconciliation pipelines, working in a hybrid or fully remote environment. Key responsibilities Design and deploy ML-based anomaly detection pipelines for early-cycle flagging of data discrepancies Build AI-assisted field mapping and classification tooling to enhance schema mapping across data cycles Develop automated data quality scoring pipelines to provide real-time visibility into migration health Required qualifications 6+ years of applied AI/ML pipeline development experience in large-scale data reconciliation programs 6+ years of Azure data platform engineering experience, including Azure Databricks and Azure Data Factory 10+ years of advanced T-SQL and PL/SQL development experience across SQL Server and Oracle 6+ years of experience in rule-based exception classification and translating stakeholder control scenarios into automated validation logic 4+ years of experience in production model monitoring and drift detection using Azure Monitor metrics