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As a Lead AI Engineer at Capital One, you will collaborate with a diverse team to design, develop, and deploy AI components. Responsibilities include model training and evaluation, leveraging advanced AI technologies, and contributing to the technical vision and roadmap for foundational AI systems.
The Lead AI Engineer at Capital One will design, develop, and deploy AI software components, collaborating with cross-functional teams to innovate AI-powered products. Responsibilities include optimization of large language models, model evaluation, and enhancing product capabilities using advanced AI technologies.
The Lead AI Engineer at Capital One will design, develop, and support AI software components, partner with cross-functional teams to deliver AI-powered products, and contribute to the technical vision of foundational AI systems. This role focuses on leveraging advanced AI technologies and optimizing large-scale production AI systems to enhance banking services.
In this role, you will guide a cross-functional team to develop AI software components, oversee the deployment of AI technologies, and innovate optimization techniques for large scale AI systems while nurturing talent and fostering a learning culture in AI.
As a Distinguished AI Engineer at Capital One, you will partner with a cross-functional team to design, develop, and maintain AI-powered products. Responsibilities include training foundation models, deploying AI software components, and improving the performance of production AI systems using cutting-edge technologies.
As a Senior Manager of AI Engineering at Capital One, you will lead a cross-functional team to deliver AI-powered products, oversee development and deployment of AI software components, make strategic technology decisions, and contribute to AI systems' technical vision while fostering team growth and culture.
The Senior Manager, AI Engineering will lead a cross-functional team in developing AI-powered products, focusing on the design, deployment, and support of AI software components. Responsibilities include overseeing AI model training, making build-vs-buy decisions on AI technologies, and fostering a culture of learning and professional development within the team.
The Distinguished AI Engineer will develop and support AI software components, collaborate with cross-functional teams to deliver AI-powered products, enhance performance of AI systems, and contribute to foundational AI systems at Capital One, focusing on responsible and scalable solutions.
Featured Jobs
The Distinguished AI Engineer will partner with cross-functional teams to design, develop, test, deploy, and support AI software components. They will leverage various AI technologies, implement optimization techniques, and contribute to the technical vision of foundational AI systems at Capital One.
As a Senior Associate in Data Science, you will leverage deep learning and generative AI to analyze unstructured data from call transcripts and documents. Your role includes fine-tuning large models, managing data annotation projects, building machine learning solutions, and collaborating with engineers and stakeholders to deploy and optimize models.
As a Senior Associate in Data Science, you will use generative AI to analyze call transcripts and document images, fine-tune large language models, manage data annotation projects, and collaborate with machine learning engineers and business stakeholders to develop and enhance machine learning solutions.
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records. The role involves harnessing transformer model architectures, managing large-scale data annotation projects, collaborating with machine learning engineers, and leveraging a broad stack of technologies to automate workflows using huge volumes of text audio, and vision data.
The Principal Associate , Data Science - Servicing Intelligence at Capital One is responsible for harnessing the power of transformer model architectures, fine-tuning large language models, managing data annotation projects, building machine learning solutions, collaborating with stakeholders, and leveraging a broad stack of technologies to automate workflows using text, audio, and vision data.
The AI ML Director will lead the development and implementation of machine learning components, optimize ML infrastructure, manage large-scale ML systems, collaborate with product teams, and drive the adoption of ML platforms across teams while mentoring engineers.
As a Senior Associate in Applied AI/ML, you will leverage your data science and analytical expertise to develop innovative AI/ML solutions. Your role involves collaboration with stakeholders to understand requirements, data wrangling, modeling, and collaborating with teams to implement strategies that drive business outcomes.
As an Applied AI ML Senior Associate, you'll design and develop machine learning models for the card business, focusing on enhancing customer lifecycle. Collaborate with a team to implement innovative modeling solutions and drive decision-making processes while ensuring model explainability and fairness.
As an AI/ML Data Curation Manager, you will lead the design and maintenance of data infrastructure, mentor data engineers, develop data documentation and models, and deliver data solutions for business modeling. You will also oversee data migration to the cloud and work with various teams to improve data efficiency and quality.
As a Lead Software Engineer, you will develop secure, high-quality production code and collaborate with teams to deliver cutting-edge AI/ML technology solutions. You will conduct technical troubleshooting, enhance software applications, and lead evaluation sessions with vendors. The role requires extensive experience in system design, cloud deployment, and automation methods.
As a Machine Learning Scientist in the Machine Learning Center of Excellence, you will research and develop high-performance machine learning models, collaborate across the firm to deliver impactful solutions, and design scalable data processing pipelines. This role requires expertise in NLP, speech analytics, and deep learning, with a focus on applying machine learning to drive business results.
Lead a team of data scientists to solve complex business problems in financial crime compliance using AI/ML techniques, collaborating with stakeholders to drive data-led transformations and communicate solutions effectively.
As a Senior Lead Software Engineer at JPMorgan Chase, you will enhance and deliver ML technology products by developing distributed ML infrastructure, optimizing system performance, collaborating with product teams, and integrating Generative AI into platforms while promoting diversity and inclusion. You will leverage your expertise in AWS and ML frameworks to drive significant business impact.
As an Applied AI Modeling Lead, you will develop advanced products utilizing NLP and machine learning, analyze large-scale data to solve complex business problems, and act as a trusted advisor. You'll contribute to the product lifecycle, mentor junior team members, and collaborate with diverse teams to deliver impactful solutions.
The Vice President of Applied AI/ML will lead initiatives in data analysis and machine learning, developing AI/ML solutions to enhance forecasting and productivity in the FP&A organization. Responsibilities include designing and implementing solutions, collaborating with stakeholders, mentoring teams, conducting data analysis, and staying updated with latest advancements in the field.
As a Senior Lead Software Engineer at JPMorgan Chase, you will enhance and deliver technology products with a focus on Kubernetes and AI/ML solutions. Your responsibilities include developing production code, automating Kubernetes cluster management and infrastructure, producing design artifacts, and providing technical guidance within an agile team.
As a Director of Architecture in the AI/ML Solution Architecture Group at JPMorgan Chase, you'll lead the development and implementation of machine learning solutions. Responsibilities include engaging with stakeholders, defining data processes, collaborating with data scientists, and providing technical leadership throughout the machine learning lifecycle.
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