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Strong employer brand, metro location, and broad ML/finance requirements increase competition.
Requires deep financial and healthcare domain experience plus ERP familiarity, limiting cross-industry transferability.
Explicit 8+ years, mandatory financial ML experience and production-ML/LLM requirements make filtering strict.
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Lead design and deployment of advanced ML models for financial forecasting, expense allocation, and cash flow management.
Develop automated AI-driven business process optimization and reporting systems to enhance financial planning accuracy.
Drive strategic insights through variance analysis, scenario modeling, and collaborate with senior leadership to influence financial decisions.
8+ years of progressive experience in AI/Data Science with at least 5 years in financial domain AI/ML model development.
Hands-on expertise in Python, advanced SQL, ML techniques (regression, classification, forecasting), and deep learning frameworks (TensorFlow/PyTorch).
Experience with large-scale financial transactional data and ERP systems such as SAP, Oracle, or Workday.
Bachelor's degree in Computer Science, IT, or related technical field.
Experienced in production-grade AI/ML projects for enterprise finance with demonstrated ability to handle financial datasets and integrate forecasting models.
Proficient in deploying Agentic AI solutions and Large Language Models within financial operations and understands business process optimization.
Able to effectively communicate complex ML insights to cross-functional teams and leadership, bridging technical and financial perspectives.