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Tier-1 brand, mid-level experience, metro role, and broad required skillset increase competition.
Specialized agentic AI, LLM production, and orchestration skills limit cross-industry transferability.
Explicit 4-year requirement plus mandatory ML, LLM production, cloud and fullstack skills enforces strict filters.
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Use advanced analytics and machine learning to extract insights from large datasets and optimize client operations.
Develop and implement data analysis and AI/ML software solutions to support clients and enhance regulatory compliance.
Build and manage client relationships while delivering quality solutions in ambiguous, complex business environments.
Bachelor's degree required.
Minimum 4 years of professional experience.
Proficiency in English (oral and written).
Strong Python skills and working knowledge of SQL required.
Background in Engineering, Data Analytics/Science, Computer/Information Science, Economics, or Finance preferred.
Experience with cloud platforms (AWS, Azure, GCP) or predictive modeling/ML tools (Python, SAS).
Hands-on expertise in developing/deploying AI/ML solutions, including agentic AI tools (LangChain, LangGraph), web frameworks (Next.js, React, Node.js), and containerized deployment (Docker).