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Mid-level Data Scientist in metro with popular title and 3-5 years increases candidate competition.
Role requires ML/GenAI operational experience, moderately transferable across industries with similar AI needs.
Explicit 3-5 years plus specialized GenAI, LLM, Python and AI-ops requirements create strict filters.
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Support, enhance, and maintain production AI and Generative AI applications across their lifecycle.
Analyze and resolve production issues, support client onboarding, and participate in release management and operational monitoring.
Contribute to AI governance, compliance, model validation, and provide insights for operational and business decisions.
3-5 years of experience in data science with hands-on Generative AI technologies.
Strong proficiency in Python, understanding of machine learning model development and maintenance.
Experience supporting production AI applications including release and monitoring processes.
Not explicitly mentioned in the JD: formal degree requirements, specific location, or notice period.
Experienced in managing AI operations and governance in production environments interacting with business stakeholders.
Skilled in Generative AI tools such as LLMs, LangChain, Agentic AI, and orchestration frameworks.
Comfortable with cross-functional collaboration including direct customer engagement and supporting compliance requirements.