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As a Senior Data Scientist at Capital One, you will conduct research in self-supervised learning and machine learning models, develop customer behavioral models, and operationalize ML models while collaborating with various teams to improve customer experiences and business outcomes.
As a Senior Data Scientist in the Emerging ML team, you will conduct research, build machine learning models, analyze customer behavior, and collaborate with engineering and product teams to improve customer experiences and business outcomes. You'll work across all phases of the data science lifecycle and utilize various data to create impactful solutions.
As a Senior Machine Learning Engineer, you will design, build, and deliver ML models and applications, working closely with product and data science teams. You will also automate testing and deployment, optimize data pipelines, and ensure high availability of ML applications. Responsibilities include collaborating in an Agile team, monitoring models in production, and applying best practices of machine learning engineering and Explainable AI.
The Senior Machine Learning Engineer will be responsible for productionizing machine learning applications, ensuring high performance and availability while collaborating with cross-functional teams. Key tasks include designing and deploying ML models, constructing data pipelines, and adhering to best practices in responsible AI.
As a Senior Lead Machine Learning Engineer, you will design, develop, and implement machine learning applications, collaborate with cross-functional teams, and ensure high performance of ML systems. You will optimize data pipelines, automate deployment processes, and enforce best practices in AI governance and risk.
As a Senior Lead Machine Learning Engineer at Capital One, you will develop and implement machine learning applications, focusing on architectural design, model training, and deploying optimized ML systems. You will collaborate with cross-functional teams, automate tasks, and ensure code quality while maintaining and monitoring models in production.
The Senior Director of Technical Program Management will lead strategic initiatives focusing on data management and machine learning, oversee complex technical projects, and enhance operational efficiencies. This role involves collaboration with senior leadership, driving transformative projects, and mentoring TPMs to foster a strong discipline within the team.
The Senior Director of Technical Program Management in Capital One's Enterprise Data and Machine Learning division will lead strategic initiatives to enhance data management and optimize operational efficiencies. Responsibilities include overseeing complex technical projects, aligning teams, and delivering data-driven solutions while fostering a culture of continuous improvement within the TPM team.
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As a Senior Machine Learning Engineer at Capital One, you will design and implement machine learning applications. Your responsibilities include developing ML models, collaborating with cross-functional teams, maintaining models in production, and utilizing best practices in MLOps, CI/CD, and cloud technologies.
As a Senior Machine Learning Engineer at Capital One, you will design, build, and deploy machine learning models and systems, optimize code for performance in production, collaborate on Agile teams, and ensure the proper governance and maintenance of ML applications.
As a Principal Data Scientist, you will leverage advanced machine learning techniques to build production-ready models and conduct research in AI, focusing on embedding and transformer models. You'll collaborate with product and engineering teams to analyze customer behavior and enhance business outcomes across various domains.
The Principal Data Scientist will conduct research and develop machine learning models, refine integration patterns for ML technologies, and collaborate with product and engineering teams. Responsibilities include building models, running experiments to improve customer experiences, and analyzing large datasets using various tools.
The Development Manager for Machine Learning Integration will oversee a small team of developers, focusing on integrating ML/AI technology into the IRIS Data Platform. Responsibilities include making code changes, participating in architecture discussions, ensuring compliance with development workflows, maintaining documentation, and triaging issues.
The Software Engineer in Machine Learning at Celonis will design and develop AI/ML features and solutions, working closely with various stakeholders to translate business needs into technical requirements. Responsibilities include creating scalable models, implementing data collection systems, ensuring data accuracy, and building robust infrastructure for model deployment.
As a Staff Quality Engineer at Celonis, you will ensure high-quality product delivery by implementing effective testing strategies, including automation. You'll collaborate with cross-functional teams to enhance test coverage, mentor team members, and optimize tools and processes for better quality assurance. Your role combines manual testing with automation, focusing on customer satisfaction and quality metrics.
As a Senior Software Engineer in Machine Learning at Celonis, you will design and develop AI/ML product features and solutions. Responsibilities include understanding customer needs, designing scalable models, implementing data collection mechanisms, and building robust infrastructure for AI/ML applications.
In this role, you will design and implement machine learning applications and systems at scale. You will collaborate with cross-functional teams to deliver ML models, build optimized data pipelines, and ensure the governance of models and adherence to best practices. Additionally, you will leverage cloud technologies to enhance ML applications and lead efforts in improving the infrastructure and performance of existing systems.
As a Senior Manager Machine Learning Engineering, you will lead the design and implementation of machine learning applications and infrastructure. Collaborating with cross-functional teams, you'll develop and optimize ML models, ensure high performance, and automate deployment processes while adhering to best practices in AI governance.
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 a Staff Machine Learning Engineer, you will build ML solutions for assessing customer cash flow risk, support multiple products, optimize decisioning pipelines, and identify customer growth opportunities, collaborating across various teams.
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.
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.
The Machine Learning Engineer Vice President will design scalable data pipelines and deploy workflows for AI models, collaborating with data scientists to solve engineering challenges from research through production implementation.
As a Summer Associate in the Machine Learning Center of Excellence, you will conduct independent research on advanced machine learning methods, focusing on natural language processing, large language models, and reinforcement learning. You will develop models, collaborate with various teams, and explore solutions that impact JPMorgan's operations.
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