Machine Learning Student Internship (Co-op)

Full Description

Avolta is a leading innovator in security solutions, dedicated to protecting critical assets and ensuring safety across various industries. They are seeking a motivated and talented Machine Learning Student Intern to join their team as part of a co-op program, focusing on machine learning applications in security and automotive anti-theft systems.

Responsibilities

• Assist in the development andimplementation of machine learning models, with a focus on computer vision applications for security systems, including automotive anti-theft solutions.

• Collaborate with team members to preprocess data, train models, and evaluate their performance.

• Participate in research and development activities to explore new techniques and technologies in machine learning and computer vision.

• Contribute to the documentation and presentation of project findings and results.

• Support the team in optimizing and deploying machine learning models for real-world applications.

• Participate in team meetings and brainstorming sessions to share ideas and insights.

• Uphold the highest standards of professionalism and integrity in all tasks and interactions.

Skills

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

• Basic understanding of machine learning concepts and techniques, with a strong interest in computer vision.

• Proficiency in programming languages such as Python and familiarity with libraries like TensorFlow, PyTorch, or OpenCV.

• Strong problem-solving skills and the ability to think critically and creatively.

• Excellent communication and teamwork skills.

• High level of responsibility, maturity, and a willingness to learn.

• Must be eligible to receive co-op credit through your academic institution.

• Familiarity with data preprocessing, model training, and performance evaluation.

• Basic knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

• Interest in automotive security, anti-theft technologies, or related fields.

• Experience with version control systems like Git.

Company Overview

• It was founded in undefined, and is headquartered in , with a workforce of 11-50 employees.

Its website is .