Key skills
AWSAzureCloudNumpyPandasPythonPyTorchScikit-LearnTensorflowAIMachine LearningMLNatural Language ProcessingTensorFlowscikit-learnNumPy
About this role
Role Overview
- Collaborate with team members to design, develop, and implement AI/ML models for applications such as predictive maintenance, anomaly detection, optimization problems, or natural language processing.
- Analyze large datasets from various sources to extract insights and validate model performance.
- Develop scripts or tools to automate data preprocessing, feature engineering, or model evaluation workflows.
- Document methodologies and results clearly for internal presentations or reports.
Requirements
- Enrolled in a degree program in Computer Science, Data Science, Engineering (Mechanical/Aerospace/Electrical), Mathematics, or a related field.
- Minimum Cumulative GPA of 3.0
- Experience in Python or other relevant languages
- Experience with machine learning algorithms (e.g., supervised/unsupervised learning) and statistical methods
- Experience applying AI/ML in aerospace context
- Experience with cloud platforms (AWS/Azure) for ML workflows
- Experience working with data manipulation tools such as Pandas or NumPy
- Experience with libraries like TensorFlow, PyTorch, Scikit-learn
Tech Stack
- AWS
- Azure
- Cloud
- Numpy
- Pandas
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
Benefits
- medical, dental, vision, life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays