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.
- Solid 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

📌 Subcontractor (Hyderabad)
🏢 Birlasoft
📍 Hyderabad