Top Entry Level Python Jobs in Charlotte, NC

The Technical Success Engineer will provide first-line technical support for customers using the AI data platform. Responsibilities include analyzing technical issues using SQL and Python, documenting investigations to help engineering teams, identifying process improvements, and fostering customer relationships to promote efficient case resolution.

The Solutions Engineer at Quasar will focus on integrating and designing solutions using Quasar's data and AI platform. This technical role involves writing code, gathering customer feedback, and ensuring solutions align with business goals. The engineer will guide customers in leveraging Quasar to optimize operations and derive insights.

The Solutions Engineer at Echodyne is responsible for pre- and post-sales technical engagement with customers, showcasing radar products, leading installation planning, troubleshooting, managing relationships, and developing training materials. The role may require travel and involvement in customer feedback collection and data analysis.

As a Cloud Systems Engineer at TherapyNotes, you'll automate infrastructure using Terraform and Ansible, enhance CI/CD pipelines, and improve service delivery through automation and documentation. You will also support IT operations, ensure adherence to security policies, and provide technical guidance. Your expertise will influence cloud-based systems and containerization, specifically focusing on Azure and Kubernetes.

The Technical Solutions Engineer at Stripe aids developers in building applications using Stripe's services, communicates technical concepts, develops documentation and code examples, and helps debug integration challenges across a range of programming languages.

As a Research Engineer at Waabi, you will develop sensor simulation software for autonomous driving, collaborating with a team of scientists and engineers. Your work will focus on building advanced multi-sensor simulation systems, enhancing content creation pipelines, and leveraging technologies like neural rendering and generative modeling.

As an AI Tutor - Coding, you'll train and assess AI models, evaluate AI-generated code, solve coding problems, and create summaries of coding solutions. The role focuses on improving AI efficiency while allowing for professional growth in AI skills.