AI / Machine Learning Engineering Intern

Responsibilities

may include :

• Data Collection and Preprocessing : Gather and preprocess RF circuit data, including simulations, measurements, and real-world performance data.
• Feature Engineering : Identify relevant features and parameters for RF circuit analysis and design machine learning models to extract these features from raw data.
• Model Development : Create and train AI / ML models for RF circuit analysis, including predictive modeling, anomaly detection, and optimization algorithms.
• Algorithm Implementation : Implement AI / ML algorithms and integrate them into existing RF circuit analysis tools and workflows.
• Performance Evaluation : Evaluate the performance of AI / ML models and algorithms through extensive testing, validation, and benchmarking against traditional methods.
• Collaboration : Collaborate with RF engineers, software developers, and other cross-functional teams to ensure seamless integration of AI / ML solutions into RF circuit design and analysis processes.
• Documentation : Document your work, including algorithms, methodologies, and results, to facilitate knowledge sharing and future improvements.

Qualifications :