Universal Avionics
Posted 118 days agoVerified live 1d ago
AI/ML Engineering Intern
Brief overview
Tucson, Arizona, United StatesIn-person
UndergradOr in progress
PythonTensorFlowSparkscikit-learnAWSAzureGCPbig data toolscloud computingmachine learningdata pipeline optimizationpredictive modelinganalytical skillsproblem-solving
About the company
Universal Avionicsuasc.com
Universal Avionics Systems Corporation is an international company that focuses on flight management.
Job description
Summary
Universal Avionics is a leader in aerospace technology, focusing on innovative avionics systems. They are seeking an AI/ML Engineering Intern to actively contribute to the design, development, and testing of scalable AI and machine learning solutions in a safety-critical environment.
Responsibilities
- Design and develop scalable AI solutions using machine learning models and tools
- Build and optimize data pipelines, prototypes, and training datasets using cloud platforms (AWS, Azure, or GCP)
- Conduct research and testing to develop machine learning algorithms and predictive models
- Execute performance testing to evaluate AI systems handling large datasets and complex algorithms
- Ensure the reliability and performance of AI systems through active development and iteration
- Collaborate with cross-functional teams to support project goals and solution implementation
Skills
- Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- Exposure to or working experience in AI, machine learning, or software development
- Proficiency in Python
- Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
- Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
- Strong analytical and problem-solving skills
Qualifications
Must Haves
- Currently pursuing or holding a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field
- Exposure to or working experience in AI, machine learning, or software development
- Proficiency in Python
- Familiarity with machine learning frameworks such as TensorFlow, Spark, or scikit-learn
- Experience with big data tools and cloud computing platforms (AWS, Azure, or GCP)
- Strong analytical and problem-solving skills
Benefits
- 9/80 Schedule Available – Every Other Friday Off
- Mentorship from experienced engineers in a specialized, mission-driven team
- Opportunity to grow your skills in a company with decades of aerospace credibility
More jobs like this
