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Strong brand, metro location, popular Data Scientist title, and mid-level experience increase candidate competition.
Core ML/LLM skills are transferable but domain familiarity and PhD preference increase sensitivity moderately.
Explicit 6-8 years, PhD preference, and mandatory GenAI/LLM/MLOps/cloud skills make shortlisting highly strict.
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Develop and deploy Generative AI and Large Language Model (LLM) projects aligned with business objectives across various industry verticals.
Design and implement AI solutions including AI Agents and POCs/POVs, demonstrating their impact to customers.
Collaborate with teams to integrate AI/ML solutions into cloud environments like Azure, GCP, and AWS.
6-8 years of IT industry experience with minimum 4 years in Data Scientist or similar role.
PhD or equivalent degree required.
Strong expertise in Transformers, LLMs, Fine Tuning, AI Agents, and Retrieval-Augmented Generation (RAG) techniques.
Proven experience deploying LLMs on cloud/on-premise using APIs and major cloud platforms (Azure, GCP, AWS).
Deep technical expertise in Generative AI, NLP, and AI solution architecture with hands-on cloud deployment experience.
Experience delivering multiple projects (2-3) in one domain such as Financial, Telecom, or Retail to quickly align AI solutions with business needs.
Skilled at customer engagement and cross-functional collaboration to demonstrate AI solutions' relevance and integrate them effectively.