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Popular mid-level Data Scientist role in a metro with a 3–5 year band increases candidate competition.
GenAI and production AI operations skills are transferable across industries but require domain-specific compliance familiarity.
Explicit 3–5 years requirement plus mandatory GenAI, Python, and production AI experience tightens shortlisting.
Support, enhance, maintain, and troubleshoot production AI and Generative AI applications across the application lifecycle.
Manage customer onboarding on AI platforms, resolve defects, support release management, ensure compliance, and contribute to operational excellence.
Collaborate with business stakeholders and customers to deliver AI solutions, generate reports and insights, and support automation initiatives to improve reliability.
3-5 years of work experience in data science or related AI operations role.
Strong proficiency in Python and working knowledge of Generative AI technologies (LLMs, LangChain, Agentic AI, RAG, orchestration frameworks).
Experience supporting production AI applications including release and monitoring processes.
Work Experience Required: 3-5 years (explicitly mentioned)
Experienced in hands-on AI/ML model development, validation, and performance testing with a focus on Generative AI.
Able to effectively communicate and manage stakeholder and client expectations in a production environment.
Familiar with AI governance, compliance, and audit processes, demonstrating operational ownership in supporting AI applications.