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Provide onsite customer support for a geographically dispersed enterprise workforce, focusing on laptop support with Windows PC's, Macs, and Mobile Devices. Responsible for IT incident management, change management, problem management, knowledge management, endpoint management, and business controls.
Lead a team of developers working on diverse technology projects utilizing various programming languages and cloud services to meet regulatory needs and drive powerful customer experiences. Requires 8 years of software engineering experience and 4 years of people management experience.
Join Capital One's legal team as a Director (Asst General Counsel) for the Commercial Bank Business Counsel - Strategic Investor Programs. Counsel on complex and innovative programs with institutional investors, review and negotiate commercial program agreements, advise on legal matters, manage outside counsel, and support internal processes. Requires a Juris Doctor and 7 years of legal experience with a focus on structured finance transactions and financial services industry.
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Join Capital One's legal team in supporting the Commercial Bank and Strategic Investments Group by counseling on complex business arrangements for institutional investors. Manage program agreements, collaborate with stakeholders, and ensure legal compliance. Requires Juris Doctor degree and 7 years of experience in legal practice.
Seeking a Senior Associate, Insights to support cross-functional business and marketing teams by developing and executing high impact Learning Agendas via research vendors and DIY research platforms. Responsible for uncovering impactful insights that drive strategy and decision making by leading research, leveraging research suppliers, and presenting insights to business partners.
Seeking a Senior Associate to support multiple business and marketing teams by developing high-impact Learning Agendas via research vendors and DIY research platforms. Responsibilities include leading research, presenting insights, and integrating various data sources to drive business decisions.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications and systems at scale. You will design, develop, and implement machine learning applications using existing and emerging technology platforms, focusing on architectural design and high availability of machine learning applications. Responsibilities include building ML models, collaborating with cross-functional teams, maintaining models in production, and leveraging cloud-based architectures.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for designing, building, and implementing machine learning applications using existing and emerging technology platforms. You will work collaboratively with cross-functional teams to solve real-world business problems and ensure high availability and performance of machine learning applications. Additionally, you will continuously learn and apply the latest innovations and best practices in machine learning engineering.
As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Responsibilities include designing, building, and delivering ML models and components, informing ML infrastructure decisions, solving complex problems, collaborating with cross-functional teams, retraining and maintaining models, leveraging cloud-based architectures, constructing data pipelines, and ensuring code quality and best practices in Responsible and Explainable AI.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications and systems at scale. You will design, build, and deliver ML models to solve real-world business problems, collaborate with cross-functional teams, and ensure high availability and performance of ML applications. Additionally, you will leverage cloud-based architectures, build optimized data pipelines, and follow best practices in Responsible and Explainable AI.
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