Note: The job is a remote job and is open to candidates in USA. Peak Performers has partnered with a Texas State Agency to recruit a Senior AI/ML Engineer. The role designs, builds, and deploys AI/ML tooling for data migration, including anomaly detection, field mapping, data quality scoring, and automated reconciliation. The engineer will also validate AI outputs, monitor models, and create documentation and knowledge-transfer materials.
Responsibilities
- Design and deploy ML-based anomaly detection pipelines for the RISE data migration program, helping flag discrepancies early before they affect downstream reporting
- Build AI-assisted field mapping and classification tools to speed up source-to-target schema mapping and support consistent resolution across migration cycles
- Develop automated data quality scoring pipelines and dashboards that give QA and program leadership real-time visibility into migration health
- Apply LLM evaluation and judge-model scoring methods to validate AI-assisted reconciliation outputs for accuracy, consistency, and auditability
- Create and maintain maintainable AI tooling, technical documentation, and knowledge transfer materials so staff can operate and extend the solution after implementation
Skills
- 6+ years of applied AI/ML pipeline development and deployment for large-scale data reconciliation programs, including anomaly detection, root-cause analysis, and exception classification
- 6+ years of Azure data platform engineering experience with Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Delta Lake
- 10+ years of advanced T-SQL and PL/SQL development across SQL Server and Oracle, including stored procedures, partition switching, columnstore indexing, and query optimization
- 6+ years of experience building rule-based exception classification pipelines and translating stakeholder control scenarios into automated validation logic
- Strong experience with cloud-native ingestion pipelines, production model monitoring, drift detection, MLflow tracking, and model tuning in regulated environments
- A master's degree in Information Technology, Science, Computer Science, or an equivalent field is required
- Strong communication skills and the ability to work respectfully, meet deadlines, collaborate with teams, and adapt to change in a hybrid or remote setting
- Applicants for employment with Peak Performers must possess work authorization that does not require sponsorship for a visa now or in the future
- 4+ years of continuous data quality enforcement using Great Expectations and parameterized pytest suites, including automated regression coverage for SOX, PCI-DSS, or HIPAA-regulated audit environments
- 3+ years of legacy system data migration experience involving COBOL or mainframe source environments such as AWS Glue, Redshift, or equivalent, including aggregate validation checks and sign-off workflows
- 3+ years of Azure Purview data lineage and metadata management experience, including Delta Lake compaction, ACID semantics, Parquet optimization, and Azure Key Vault managed identity integration for encryption compliance
Benefits
- Excellent medical health, dental & vision insurance at 60 days
- Our employees may choose to participate in a 403(b) retirement plan
- Worksite Location: Remote
- We pay weekly through direct deposit
Company Overview