Top Remote Senior Level Python Jobs in Dallas, TX

The AI/ML Engineering Senior Manager will be responsible for growing AI capabilities in the product and platform. They will manage a team of data scientists, machine learning engineers, and software engineers. They will collaborate with product management, UX designers, and business stakeholders to deliver AI-enabled software solutions and platform capabilities. The role requires strong technical leadership, experience in data science and AI, and proficiency in git-based workflows and machine learning tools.

The Solution Architect for Partner Development will manage partnerships, drive account planning and sales strategies, conduct technical workshops, lead product demonstrations, and act as a domain expert in AI/ML to optimize partner performance and continuously improve the customer experience at Arize.

As a Senior Full-Stack Software Engineer, you will design, develop, and maintain full-stack features for SmithRx's web application suite. You will ensure high-quality code by collaborating with stakeholders, applying best practices, troubleshooting production issues, and leveraging AWS technologies.

The Principal Developer will be responsible for end-to-end development of SDKs and tools, ensuring high code quality, collaborating with cross-functional teams, and driving continuous improvement in codebase and processes. This role emphasizes system reliability, technical innovation, and quality ownership through best practices and performance monitoring.

As a System Engineer III at Beacon Biosignals, you'll develop EEG device systems to meet business and regulatory requirements, work with cross-functional teams on system requirements, verification, and risk management, and support product development from concept to commercialization.

As a Staff Software Engineer - ML, you will develop and manage relevance models to enhance user experience on Eventbrite. Collaborating with various teams, you will tackle machine learning, search ranking, and recommendations to ensure the right content is presented to users.

Manage AWS Cloud infrastructure for Data Science and Machine Learning environments. Resolve user problems, automate tasks, and improve overall operational costs and user experience.