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As an AI/ML Engineer, you will support NASA's human exploration programs by establishing AI strategies, coordinating efforts with stakeholders, and leading technical initiatives. Responsibilities include developing AI governance frameworks, contributing technical insights, and ensuring successful integration of AI technologies across projects.
The Manager, Cyber Risk & Analysis will support the Enterprise AI/ML Program by managing risk solutions, collaborating with product and tech teams, and developing risk management reporting. Responsible for ensuring compliance and mitigating risks in emerging technologies while communicating effectively with senior leadership.
As a Senior Lead Software Engineer in the Performance Engineering team, you will enhance application performance through rigorous testing and development, provide technical guidance, and influence architectural decisions while fostering a culture of diversity and inclusion.
The Senior Product Delivery Associate will lead the development of a Knowledge Management platform using AI and ML technologies, define the product roadmap, oversee data and project coordination, and collaborate with cross-functional teams to drive innovation and ensure compliance with regulations.
As a Technology Audit Manager, you will lead audit engagements for the Chief Data & Analytics Office, manage teams, evaluate internal controls, and provide insights to enhance risk management and governance. The role emphasizes collaboration with stakeholders and adapting to evolving industry standards, while utilizing innovative technologies.
As a Staff Software Engineer, you will architect and develop Zeta Global's Marketing Platform, collaborating with teams to create a comprehensive multichannel marketing solution, leveraging distributed systems and cloud technologies, while maintaining robust services and managing technical debt.
The Senior Director of Data will lead a multidisciplinary team focused on data infrastructure, analytics, and machine learning. Responsibilities include overseeing analytics support, developing data strategies, and driving AI initiatives while ensuring data privacy, particularly in regulated industries like healthcare.
The Vice President of Global Data Strategy and Governance will develop and implement a comprehensive data strategy and governance framework, ensuring data is managed as a strategic asset. The role includes collaboration with stakeholders, leading teams for data insights, and setting governance standards for data sourcing and usage.
Featured Jobs
The Vice President for Artificial Intelligence Data Management at JPMorgan Chase will transform data management practices, driving AI solutions, collaborating with stakeholders, and applying AI/ML techniques to develop scalable models. Responsibilities include presenting results and staying updated with the latest research in AI and data science.
The Machine Learning Engineering Manager will lead the Personalization ML Engineering team at Cash App, overseeing all engineering work related to personalized recommendations and AI solutions. Responsibilities include managing and mentoring team members, collaborating with product and business leaders, and ensuring the deployment of impactful ML solutions. They will also contribute to strategic planning and stay informed on the latest AI techniques.
As a Senior Lead Architect at JPMorgan Chase, you'll drive significant business impact within the Merchant Payments team by shaping target state architecture, engaging with technical teams and stakeholders, and defining product strategy. You'll lead creative software solutions and evaluate vendor contributions, all while improving operational stability of software applications in the financial services domain.
The Chief Architect will develop and implement technical solutions for the U.S. Air Force and Space Force, defining architectural visions, collaborating on strategic projects, managing multi-disciplinary teams, and supporting business development efforts while maintaining high-level communication and risk management.
The Senior Distinguished Engineer in Platform Operations at Capital One will oversee AI and ML platforms, set strategies for cloud operations, and lead infrastructure management to ensure performance and compliance. The role involves collaboration with engineering teams, implementation of best practices, and mentoring staff to create a high-performing operations team.
As a Senior Lead Architect within the Merchant Payments team, you will develop high-quality architecture solutions, guide evaluations of current and emerging technologies, build target state architecture, and provide technical direction to support business and its technical teams.
The VP, Business Development will lead growth efforts in the Data & AI practice, utilizing partnerships with platforms like Databricks and AWS to drive new business. Responsibilities include closing deals, developing marketing and service strategies, and maintaining client relationships to secure long-term engagements.
As the AI/ML Risk Guide at Capital One, you will drive the risk management strategy for emerging technologies, particularly in AI/ML, collaborating across teams to enhance stability and success. You'll engage in identifying risks, developing mitigation plans, and reporting to senior management, while managing multiple deliverables in a fast-paced environment.
In this role, you will lead the design and execution of machine learning applications at scale, focusing on architectural design, model development, and code performance. You will collaborate with cross-functional teams to deliver AI-powered solutions, ensuring high availability, monitoring, and compliance with best practices in machine learning engineering.
In this role, you'll lead the development and deployment of machine learning applications, ensuring performance and governance. Responsibilities include collaborating with cross-functional teams to build ML models, maintain systems, and enforce best practices in AI. You'll work on automating access management and risk remediation processes.
As a Senior Lead Cybersecurity Architect, you will develop high-quality cybersecurity solutions and controls for software applications. Responsibilities include guiding evaluations of cybersecurity practices, providing technical guidance, and collaborating with stakeholders to recommend improvements. The role requires advanced knowledge of cybersecurity architecture and hands-on experience with enterprise-level solutions.
The Global Head of AI Solutions Sales at Atlassian will lead and drive growth in AI sales, collaborate with various teams for strategy execution, manage a sales team, and establish relationships with senior-level clients. The role involves optimizing sales processes, forecasting revenue, and advocating for customers' needs.
As a Principal Software Engineer at Roblox, you will develop and implement advanced machine learning models, optimize model architectures, and enhance ML performance across various devices. You will collaborate with cross-functional teams to establish pipelines for deploying ML models and contribute to complex AI systems involving generative AI model deployment.
The Senior AI Engineer at Capital One will collaborate with various teams to develop AI-powered products, manage AI software components, optimize large language models, and contribute to foundational AI system strategies.
As a Senior AI Engineer at Capital One, you will design, develop, deploy, and support AI software components while collaborating with cross-functional teams to deliver AI-powered products. You will leverage various AI technologies to optimize their performance and contribute to the technical vision of foundational AI systems.
As a Senior AI Engineer at Capital One, you will collaborate with cross-functional teams to design, develop, and deploy AI-powered products. Your responsibilities include developing AI software components, leveraging various AI technologies, and optimizing large-scale production AI systems while contributing to the strategic vision of foundational AI systems.
As an AI Engineer, you will develop and support AI software components, collaborate with cross-functional teams, design production-grade AI systems, and improve the performance of AI models. Emphasis is placed on innovating AI optimization techniques and contributing to the company's technical vision.
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