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Tier-1 employer, Gurgaon location, and broad ML/LLM skillset increase applicant competition.
Strong finance FP&A domain and healthcare/regulatory expectations make background highly sensitive and specialized.
Explicit 8+ years, financial ML domain experience, production ML and LLM requirements make filters strict.
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Own development and maintenance of advanced predictive AI/ML models for sales, revenue forecasting, expense management, and cash flow optimization driving financial performance.
Design and implement automated model and reporting systems integrating AI, including variance and scenario analysis, to support strategic decision-making.
Lead data quality governance in financial analytics, present findings to senior leadership, and mentor junior team members to foster data-driven decisions.
Minimum 8+ years experience in AI/Data Science with at least 3+ years in AI/ML for Financial Planning & Analysis or Corporate Finance.
Proven experience delivering production-grade AI/ML projects in enterprise finance environments.
Strong programming skills in Python and advanced SQL; experience with ML frameworks (TensorFlow/PyTorch) and data visualization tools (Power BI, Tableau).
Bachelor's degree in Computer Science, IT, or related technical field required; experience with large-scale financial datasets and ERP systems (SAP, Oracle, Workday).
Experienced in building and deploying forecasting models applied to financial metrics with domain understanding of FP&A and financial statements.
Demonstrated ability to translate complex ML outputs into actionable insights for cross-functional business and finance stakeholders.
Hands-on with emerging AI technologies including Large Language Models and agentic AI workflows; collaborative in cross-functional teams involving Finance, IT, and Business.