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Tier-1 brand, mid-level role, metro location, and broad AI/ML skillset increase competition.
Core ML/AI engineering skills are transferable across industries, so background sensitivity is low.
Explicit 5+ years plus specific LLM, MLOps, cloud, and Python requirements enforce strict filters.
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Design, build, and operationalize advanced AI/ML solutions including Generative AI and intelligent automation to drive business value and operational efficiency.
Analyze complex datasets to develop predictive models, perform data visualization, and provide actionable business insights.
Develop, deploy, and maintain machine learning models and AI services including API development, performance testing, and MLOps support.
Bachelor's or Master's degree in Computer Science, Data Science, AI, Statistics, Mathematics, Engineering, or related field.
Minimum 5 years of experience in Data Science, Machine Learning, AI development, and Python programming.
Hands-on experience with Large Language Models (LLMs), Generative AI, Prompt Engineering, Retrieval-Augmented Generation (RAG), and AI Agents.
Experience with cloud platforms (Azure, AWS, or GCP), machine learning frameworks (Scikit-learn, TensorFlow, PyTorch), data visualization, and API development.
Experienced in integrating advanced AI and automation technologies into enterprise business processes with a focus on scalable deployment and operational reliability.
Strong background in statistical analysis, predictive modeling, and performance optimization in a fintech or complex data environment.
Proven ability to collaborate cross-functionally with business stakeholders, product teams, and engineering to deliver AI-driven business outcomes and innovation.