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Tier-1 brand and metro location increase density, but senior specialized ML/LLM focus moderates competition.
Requires deep LLM, RAG, and enterprise AI experience, limiting cross-industry transferability.
Explicit 10+ years plus mandatory LLM, RAG, Databricks, cloud, and vector DB skills create strict filters.
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Own end-to-end delivery of scalable AI/ML and generative AI solutions, including advanced RAG and LLM-based systems.
Lead design, architecture, and deployment of production-grade machine learning pipelines and LLM integrations aligned with business strategy.
Provide technical leadership and manage cross-functional teams and stakeholders to ensure timely, high-quality project completion.
Minimum 10+ years in Data Science, with at least 2+ years in AI/Generative AI technologies.
Strong proficiency in Python, experience with Databricks, AWS (Sagemaker, Textract, CloudWatch) and LLM ecosystems.
Bachelor's degree in Business Analytics, Computer Science, Statistics, or Master's in Data Science.
Experience with advanced techniques such as RAG pipelines, prompt engineering, vector databases, and API-based AI integration.
Experienced leader with proven ability to translate business needs into AI strategies and scalable solutions at enterprise scale.
Hands-on expertise in generative AI technologies, including large language models, prompt design, and retrieval-augmented generation.
Comfortable working in hybrid and agile environments managing cross-disciplinary teams and collaborating with engineering and business stakeholders.