kiavi · Remote
Skills: Python
About the Role We are looking for a Senior Data Scientist to develop and apply modern machine learning and artificial intelligence across a range of products and business problems. The ideal candidate combines strong computer science foundations, rigorous experimental judgment, and the ability to turn advances in AI into reliable systems with measurable business impact. The work spans document intelligence, multimodal systems that combine text, images, and structured data, and the adaptation of foundation models using proprietary datasets. These models support complex workflows in regulated financial services, where accuracy, explainability, data governance, reproducibility, and careful evaluation are essential. You will work across the full machine learning lifecycle: framing problems, developing datasets, building and evaluating models, running large-scale experiments, and partnering with engineering teams to bring successful solutions into production. A central part of the role is turning successful approaches into reusable AI capabilities, patterns, and components that can support multiple teams and use cases rather than creating a separate one-off solution for every problem. What You’ll Do Identify high-impact opportunities for machine learning and AI in partnership with product, engineering, operations, and business teams. Design, train, fine-tune, and evaluate machine learning and deep-learning models. Work with foundation models across language, vision, and multimodal applications. Develop robust datasets, features, training pipelines, and evaluation frameworks. Run efficient experiments on GPU infrastructure and improve model quality, speed, and cost. Compare alternative modeling approaches and make clear recommendations based on empirical results and business impact. Build reusable modeling components, evaluation frameworks, and implementation patterns that accelerate work across teams and projects. Establish clear interfaces and standards that allow other…
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