Top Remote Python Jobs in Dallas, TX
The Lead AI Engineer will develop and train AI tools while collaborating with cross-functional teams. Responsibilities include designing AI models, preparing data for machine learning, deploying AI solutions in cloud environments, and integrating AI technologies with clients' business processes. The role also includes maintaining up-to-date knowledge of AI trends and enforcing best practices for version control.
The Compiler Developer will enhance and implement components of LLVM and Clang-based toolchain, contribute to the LLVM community, analyze and debug platform-specific code, and maintain target-specific tests while ensuring high-performance software development.
The Principal Engineer - ML/AI will design, develop, and deliver advanced AI and machine learning solutions, translating technical innovations into strategic business outcomes. The role requires leadership in AI, innovative problem-solving, and a comprehensive understanding of emerging technologies to serve the Federal Government clients effectively.
As a Senior Engineer in the Innovation Programs Group, you will design and develop scalable backend solutions, create intuitive UIs, prototype using generative AI, collaborate with teams, and ensure high-quality code through reviews and documentation. You will also deploy solutions using Docker and cloud services, focusing on innovation and integration of new technologies.
As a Platform Engineering Manager at Hypixel Studios, you will lead a team of engineers to develop and maintain backend services for the game Hytale. Your role includes mentoring team members, collaborating with Product Owners, and overseeing the architecture and implementation of technical solutions while ensuring code quality and system reliability.
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As a Staff Site Reliability Engineer at Ancestry, you'll enhance the reliability and scalability of services. You'll collaborate with engineering teams, ensure compliance with SLO/SLI and Error budgets, develop monitoring and automation capabilities, debug complex issues in AWS, and support best practices in infrastructure and cloud. Training and mentoring in AWS and cloud automation are also key responsibilities.
The Senior Platform Engineer will design, develop, and optimize Kubernetes-based applications and infrastructure, implement automation tools for rapid deployment, collaborate with teams to ensure smooth integration within development cycles, and provide mentorship on Kubernetes best practices.
The Lead Engineer, Data Platform will build and enhance the data platform and tools for data engineers and scientists, providing mentorship, collaborating with various teams, and participating in hiring efforts. The role emphasizes the use of technologies such as Python, SQL, and various cloud services in high-volume environments.
As a Solution Architect at IP Fabric, you will support customers post-sales by understanding their requirements, guiding them through implementation, conducting training sessions, drafting Statements of Work, and monitoring project progress. You will collaborate with various teams and provide technical expertise related to network management.
As an Implementation Engineer, you will focus on customer success by deploying and configuring the Protenus platform, managing data extraction, and ensuring data quality. You will engage with customers to build tools for efficiency, analyze data, and address technical inquiries. This role involves project management and ongoing support post-implementation.
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