Data Management and AI/ML Specialist

Subcontractor Area(s) of responsibility 10+ years in data management, data engineering, or data migration with at least 3+ years applying AI/ML techniques to data quality or migration challenges. Strong hands-on experience with AI/ML frameworks LLMs, NLP, fuzzy matching, entity resolution, anomaly detection (Python, scikit-learn, TensorFlow, PyTorch, Hugging Face, or similar). Deep understanding of ERP data models and data loading mechanisms across platforms such as SAP, Oracle, Infor, or JD Edwards. Proven experience deploying solutions on cloud platforms AWS, Azure, or GCP (compute, storage, ML services, orchestration). Expertise in data quality disciplines profiling, standardization, deduplication, enrichment, validation, and reconciliation. Experience with iterative migration execution models (Mock, SIT, UAT, Production) and factory-based delivery approaches. Familiarity with industry classification and reference data standards (UNSPSC, D&B, NAICS, ICD, HL7, GS1). Excellent communication and stakeholder management skills; ability to present technical solutions to business audiences Experience Level Mid Level .