4 python developer jobs found in Plano, TX

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us. An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this...

Senior Data Analyst -UT Dallas Master's in Analytics & AI - 2026 Grads At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Analyst at Capital One you will leverage analytic and technical skills to innovate, build, and maintain well-managed data solutions and capabilities to tackle business problems. On any given day you will be challenged by three types of work - Innovation, Business Intelligence and Data Management: Innovation Use Open Source/Digital technologies to mine complex, voluminous, and different varieties of data sources and platforms...

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. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems,...

job summary: Key Responsibilities: - Design, develop, and oversee end-to-end implementation of the new GM GenAI platform and its related business use cases. - Develop architectural approaches for AI software and hardware integration with emphasis on quality, performance, resiliency, and reusability. - Collaborate with business and IT stakeholders to understand and fulfill business needs objectives. - Lead cross-disciplinary teams to deliver technical solutions that align with business priorities and expectations. - Identify, prioritize and execute tasks in the software development life cycle. - Establish standards and lead the charge on automation for end-to-end SDLC efficiency. - Mentor team members in technical design and development best practices - Drive platform performance, scalability resiliency testing - Implement hardware upgrade software enhancement to meet global performance expectations. - Address regulatory performance driven requirements for...