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Tier-1 brand, mid-level (4 years), metro hiring, and broad fullstack/AI skillset increase competition.
Role demands combined full-stack and AI platform experience, limiting cross-industry transferability.
Explicit 4+ years requirement and many mandatory tech skills (Python, React, Node, ML, cloud) make filters strict.
Extract insights from large datasets using advanced analytics to support data-driven decisions for diverse clients.
Develop and deploy scalable AI/ML solutions including backend APIs using Python (FastAPI, Flask) and Node.js (Express); maintain containerized workflows with Docker.
Collaborate with clients to tailor data solutions, mentor junior team members, and manage complex technical challenges to improve client outcomes.
Bachelor's degree required.
Minimum 4 years of relevant work experience.
Proficiency in English (oral and written).
Strong Python skills and working knowledge of SQL; experience with AI/ML solution building and deployment.
Background in Engineering, Data Science/Analytics, Computer/Information Science, Economics, or Finance preferred.
Experience with cloud platforms (AWS, Azure, GCP) or predictive modeling/ML tools (Python, SAS).
Hands-on expertise with AI/ML production deployment, Next.js (App Router), TypeScript, React, Node.js, containerization (Docker), and AI orchestration frameworks (LangChain, LangGraph, etc.).