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Strong Tier-1 brand, mid-level analytics role, and metro location increase applicant competition.
Role demands production ML/LLM engineering and analytics expertise, moderately transferable but domain-specialized.
Explicit 5+ years requirement plus mandatory production LLM, SQL, Python, and Tableau skills make filtering strict.
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Lead development of AI-enhanced analytics pipelines and automated insight generation focused on Community Support metrics like contact volume and resolution quality.
Build and maintain reusable AI skill libraries, prompt templates, orchestration workflows and self-serve interfaces enabling non-technical stakeholders to access certified data-driven insights.
Design and operate evaluation frameworks ensuring output quality and governance while driving a quarterly analytics roadmap aligned with business priorities.
Minimum 5 years of experience in analytics/data science with proven delivery of AI-enabled solutions, not just analysis.
Expert-level SQL and Python skills on large-scale data platforms; advanced Tableau proficiency for production BI delivery.
Experience with production large language models (LLMs), prompt engineering, RAG/vector DBs, agentic system design and output observability.
Work Experience Required: 5+ years; Location Requirement: Gurugram, India (implied); Notice Period: Not explicitly mentioned in the JD.
Experienced in translating ambiguous business problems into automated AI-driven analytical solutions with measurable outcomes.
Comfortable building end-to-end AI pipelines including skill chaining, context management, and governance for minimal human oversights.
Strong communicator adept at simplifying complex AI workflows for non-technical stakeholders and capable of operating autonomously in a fast-paced environment.