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Specialized senior ML role in Bengaluru at a known analytics firm, moderate applicant competition.
Strong enterprise finance and ERP integration focus makes industry experience highly relevant.
Explicit 8+ years requirement plus mandatory NLP, production AI, and leadership makes filtering stringent.
Lead design, development, and deployment of AI systems for invoice-to-cash financial workflows, including data extraction, payment matching, and deduction management.
Own end-to-end AI architecture and delivery ensuring scalable, production-ready AI across remittance processing, cash application, and ERP integration.
Manage and lead a team of AI/ML engineers, collaborating with Product and ERP teams to drive AI roadmap and automation objectives.
8–14+ years of AI/ML engineering experience.
Strong expertise in NLP / LLM systems, entity extraction, classification, matching/reconciliation algorithms, and production AI deployment.
Hands-on experience with Python and ML frameworks such as PyTorch or TensorFlow.
Experience building scalable AI pipelines in SaaS or enterprise financial systems environments.
Experienced leader owning AI solution execution, model performance, and enterprise AI strategy within financial systems automation.
Proficient in AI architectures for agent-based, explainable, and audit-compliant systems in regulated domains.
Domain experience with accounts receivable, cash application, remittance processing, and ERP-integrated AI automation.