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Known enterprise brand, metro location, broad ML/LLM requirements, and popular Data Scientist title increase applicant competition.
Requires deep LLM/MLOps expertise and industry-specific domain knowledge, limiting transferability across sectors.
Explicit 10+ years, PhD research expectation, mandatory LLM/MLOps and industry domain experience enforce strict filters.
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Lead development and implementation of Generative AI and Large Language Models projects aligned with business goals.
Design and deploy Proof of Concepts (POCs) and Points of View (POVs) for Generative AI across multiple industry verticals.
Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS).
Minimum 10 years of experience in Data Science and Machine Learning.
PhD in Computer Science, Data Science, or related field (or equivalent research experience).
Expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.
Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail).
Experienced in leading client presentations and solutioning for RFPs and proposals, indicating strong client engagement skills.
Strong domain expertise in at least two industries with completed projects demonstrating applied knowledge.
Proficient in deploying and managing LLMs on cloud platforms with hands-on AI/ML, Generative AI, and MLOps experience.