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.

Robust 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 (India)
🏢 Birlasoft
📍 India