AI Engineer Intern Full-time

Overview

Keysight is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

Our powerful, award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. Diversity, equity & inclusion are integral parts of our culture and drivers of innovation at Keysight. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

The AI Engineer Intern role offers hands-on experience in developing and deploying artificial intelligence models and solutions. This position provides an opportunity to work on real-world projects, leveraging data science and machine learning techniques to solve complex problems. You will collaborate with experienced engineers and data scientists, gaining insights into AI tools and methodologies while contributing to innovative AI-driven solutions that enhance business outcomes.

Responsibilities

The responsibilities of an AI Engineer intern include assisting in the development and implementation of AI models and algorithms, analyzing large datasets to extract meaningful insights, supporting machine learning projects, and collaborating with teams to enhance AI-driven solutions. The intern will also contribute to optimizing AI systems and help automate processes for improved efficiency and innovation.

Qualifications

Careers Privacy Statement

***Keysight is an Equal Opportunity Employer.***

• Bachelor’s degree in Computer Science, Computer Engineering, or a software related discipline, from an accredited college or university
• Ability to identify, formulate, and solve engineering/business problems.
• Understand these technologies and framwework as added advantage: Python, Java, TensorFlow, Docker, C#. ASP.NET Core Spring Boot, Angular.