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Metro location and popular data-scientist title raise competition, but seniority and niche LLM/ML requirements moderate applicant density.
Specialized ML, Generative AI, and LLM expertise produce high domain specificity and limited cross-industry transferability.
Mandatory deep ML/LLM expertise, end-to-end deployment skills, and senior-level expectations create high shortlisting strictness.
Design, develop, and deploy end-to-end AI/ML and Generative AI solutions to drive measurable business impact.
Build scalable Python-based ML components integrating with enterprise platforms and cloud environments.
Collaborate with cross-functional teams to translate business problems into analytical solutions and communicate insights.
Expertise in statistics, machine learning, and large language models.
Proficiency in Python for developing ML pipelines and solutions.
Work onsite five days a week; relocation available.
Work Experience Required: Not explicitly mentioned in the JD.
Deep technical proficiency in advanced AI/ML, especially LLMs and generative AI.
Experience working in collaborative cross-functional teams involving product, engineering, and business stakeholders.
Ability to operationalize complex models and deliver scalable, reusable ML solutions within enterprise/cloud environments.