Top Data & Analytics Jobs
As a Senior Lead Machine Learning Engineer at Capital One, you will architect and develop full-stack solutions for monitoring and managing Generative AI and machine learning models, collaborate with teams to build observability platforms, and leverage cloud technologies to enhance insights into model performance and compliance.
As a Distinguished Engineer at Capital One, you will lead technical innovation in machine learning and data engineering, optimizing model deployment pipelines and contributing to GenAI initiatives. You will drive the engineering vision and mentor talent, working collaboratively across teams to enhance technology solutions for banking.
The Manager of Data Science leads a team to build machine learning models for credit underwriting and business card products. Responsibilities include collaborating with cross-functional teams, applying technologies to analyze large datasets, and managing model development phases including design, implementation, and monitoring.
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As a Senior Machine Learning Engineer, you'll develop and implement machine learning applications, focusing on architectural design, model validation, and automation. You will work collaboratively in an Agile team to solve complex business problems using machine learning models and ensure the high performance of systems. You will also manage models in production and leverage cloud technologies.
As a Data Scientist at Capital One, you will focus on leveraging analytic and technical skills to manage data solutions for underwriting decisions involved with credit bureau data, develop strategic partnerships, and perform deep dive analyses while improving infrastructure.
The Lead Machine Learning Engineer will design, develop, and implement machine learning applications and systems. Responsibilities include problem-solving, model development, infrastructure decisions, and collaboration with Product and Data Science teams to deliver optimized ML models using advanced technologies and best practices.
As a Senior Machine Learning Engineer at Capital One, you will design, develop, and implement machine learning applications, focusing on architectural design, model development, and ensuring the performance of ML systems. Your role involves collaborating in an Agile environment, building data pipelines, and applying best practices in machine learning and AI.
As a Lead Machine Learning Engineer, you will design and implement machine learning applications, collaborating with data scientists and engineers. Your responsibilities include developing workflows in Kubernetes, deploying models at scale using technologies like PyTorch and Spark, and enhancing ML processes for real-world business solutions.
The Principal Quantitative Analyst will collaborate with various business lines to enhance modeling and analytical frameworks, focusing on forecasting net interest income. This role involves working on cloud-based solutions, applying machine learning, and providing insights for business improvements, while communicating results effectively to diverse audiences.
As a Principal Data Scientist, you will utilize a wide range of technologies to build machine learning models, partnering with cross-functional teams to drive insights from large volumes of data. You will oversee the entire model lifecycle and focus on innovation to enhance model performance and decision-making for credit card management.
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