AI/ML Engineering Intern

Responsibilities include:

• Assist in designing and implementing machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Collaborate with software engineers, data scientists, design, test, and process engineers to integrate ML models into production systems.
• Conduct experiments, evaluate model performance, and optimize algorithms.
• Document workflows and present findings to the team.

Skills Required:

• Strong programming skills in Python.
• Experience with Python ML libraries such as, PyTorch and scikit-learn.
• Understanding of machine learning concepts (supervised/un-supervised learning, model evaluation).
• Familiarity with data preprocessing and feature engineering.
• Ability to create dashboards and reports to visualize and present experimental results.
• Basic DevOps experience: Linux environment, Git, and Docker.
• Excellent teamwork and communication skills; ability to work effectively within a software engineering team.
• Analytical thinking and a structured approach to problem solving.
• Knowledge of semiconductor testing datasets is a plus but not required.

Qualifications

Currently pursuing a MS or PhD in Computer Science, Data Science, Mathematics, or a related field.