The Role
As an AI/ML Engineering Intern, you will assist in designing machine learning models, preprocess large datasets, collaborate with teams, and evaluate model performance.
Summary Generated by Built In
Job Summary & Responsibilities
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.
Currently pursuing a BS or MS in Computer Science, Data Science, Mathematics, or a related field.
Top Skills
Docker
Git
Linux
Python
PyTorch
Scikit-Learn
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The Company
What We Do
For over a half-century, Advantest has been designing innovative electronic measuring equipment and semiconductor test systems essential to the development and manufacture of advanced computer and telecommunications products. On April 1, 2012, Advantest completed its integration of Verigy Ltd.
Additional Information about Advantest can be found at www.advantest.com.
