23 abr
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subQdocs
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San Luis
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nwp2d
Data Scientist (LLM Systems & AI Agents) – subqdocs.aisubqdocs.ai is building next-generation AI software for dermatology practices in the U.S. Our platform uses AI agents to automate clinical documentation, workflows, and operational tasks — effectively augmenting staff with intelligent systems.We are looking for a Data Scientist who combines strong algorithmic training, practical LLM experience, and real software development ability.This role goes far beyond basic prompt engineering.You will help design, evaluate, and implement AI systems that operate reliably in real-world clinical workflows.About the RoleYou will work at the intersection of data science, applied machine learning, and production software development.The role involves designing LLM-powered systems, building evaluation frameworks,
and improving AI performance through algorithmic thinking and data-driven experimentation.The strongest candidates will have hands-on software development experience and later developed data science / ML expertise — or have worked as data scientists who actively build production software.What You'll DoDesign and develop LLM-driven systems and AI agents used in clinical workflows.Programmatically interact with LLMs to build structured reasoning pipelines and agentic workflows.Build evaluation frameworks, metrics, and experiments to measure and improve AI performance.Apply statistical reasoning, optimization techniques, and algorithmic thinking to improve system reliability.Work closely with engineers to deploy and maintain production AI systems.Analyze structured and unstructured data to improve model outputs and decision logic.Contribute to the long-term development of domain-specific models trained on proprietary data.What We're Looking For5–7 years of experience in data science, machine learning, or applied AI.Formal academic training in a quantitative field such as:Computer ScienceData ScienceStatisticsMathematicsOptimization / Operations ResearchStrong Python
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nwp2d
📌 Data Scientist (San Luis)
🏢 subQdocs
📍 San Luis