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Strong brand and metro presence but senior, specialized ML role, so moderate applicant competition.
Requires finance domain expertise and agentic AI experience, limiting cross-industry transferability.
Explicit 8-10 years and deep ML/AI and finance domain requirements enforce strict shortlisting.
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Lead design and deployment of AI and ML solutions for finance including forecasting, anomaly detection, and automation.
Develop and productionize agentic AI systems that orchestrate workflows and provide proactive insights in financial processes.
Collaborate with finance and product teams to define metrics, run experiments, ensure responsible AI practices, and deliver measurable business value.
8-10 years experience designing and programming data science and ML systems handling structured and unstructured data.
Experience building, deploying, and monitoring machine learning models for finance-related use cases such as forecasting, classification, risk identification, and fraud prevention.
Proficiency with generative AI, large language models, agentic AI, workflow orchestration, and strong programming skills with large-scale diverse data.
Work Experience Required: 8-10 years relevant experience in AI/ML and finance domain.
Experienced in applying AI/ML techniques specifically to optimize finance functions and workflows in enterprise environments.
Hands-on with agentic AI, generative models, and scalable data pipelines to drive automation and data-driven decision-making.
Able to translate complex AI insights into clear, actionable business recommendations and influence stakeholders across technical and non-technical roles.