This is a fully remote position, open to applicants in United States.

📋 Description

• Create technical solutions for engineers to assess and implement data and AI technologies.

• Provide architectural consulting, develop proof of concepts, and deliver solutions for key business initiatives, including data science and machine learning systems.

• Construct and present product architectures, write technical code, and demonstrate applications to stakeholders.

• Acquire practical experience with the Innovator Method, transforming customer insights into solutions that yield significant business value.

• Enhance expertise in cloud platforms, databases, data engineering, web design, AI technologies, and numerical methods.

• Assist team members and foster cross-functional relationships throughout the organization.

• Deploy solutions into production that align with business objectives and create impact.

• Contribute as a learner and innovator to advancements in aerospace.

⛳️ Requirements

• Currently enrolled or graduated with a bachelor's degree in computer science, Aerospace Engineering, Mechanical Engineering, or a related discipline from an accredited university or recognized software accelerator program.

• A minimum cumulative GPA of 3.7 on a 4.0 scale, without rounding.

• Excellent academic performance in Computer Science or other STEM fields.

• Experience in designing AI solutions and architecting distributed data systems.

• Proficient in programming and debugging with Python, C#, C++, and SQL.

• Customer-focused mindset with the capability to lead design thinking workshops.

• Practical experience in Machine Learning, Large Language Models (LLMs), or Computer Vision.

• Familiarity with building solutions on public cloud platforms such as AWS or Azure.

• No prior work experience is necessary.

• Preferred but not mandatory: AWS and/or Azure certification.