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Metro Bangalore and broad AI leadership skills create medium candidate density despite niche senior specialization.
Requires enterprise finance automation and AI architecture experience, making background fit highly domain-sensitive.
Explicit 8+ years, mandatory AI/ML production experience, and leadership requirements make shortlisting strictness high.
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Lead the design, development, and production deployment of AI systems for Intelligent Invoice-to-Cash workflows including invoice extraction, payment matching, and deduction management.
Ensure scalable, secure, and audit-ready AI architecture with high extraction accuracy (≥90-95%) and strong auto-match rates to reduce manual financial exception handling.
Manage and lead a team of AI/ML engineers and data scientists while collaborating with Product, Integration, and ERP teams to drive AI roadmap and enterprise-wide strategy.
8-14+ years of experience in AI/ML engineering with hands-on experience in Python and ML frameworks (PyTorch, TensorFlow, etc.).
Strong expertise in NLP/LLM systems, entity extraction/classification, matching/reconciliation algorithms, and production AI deployment.
Experience building scalable AI pipelines in SaaS or enterprise environments.
Work Experience Required: 8-14+ years in AI/ML engineering.
Experienced in financial systems automation, especially accounts receivable, cash application, or remittance processing with ERP integration.
Operates at a leadership level owning AI solution execution, model performance optimization, and enterprise AI strategy.
Skilled in explainable AI techniques suitable for regulated financial domains and designing AI architectures aligned with business automation goals.