Machine Learning Student Internship
AV Machine Learning
- Toronto, Ontario, Canada
- Toronto, Ontario, Canada
Über
Avolta is a leading innovator in security solutions, dedicated to protecting critical assets and ensuring safety across various industries. With a strong focus on automotive security, we specialize in developing cutting-edge technologies, such as advanced anti-theft systems, to safeguard vehicles and enhance driver and passenger safety. By leveraging artificial intelligence, machine learning, and computer vision, we deliver innovative solutions that address complex security challenges in the automotive sector and beyond. Our team is composed of highly skilled professionals who are committed to excellence, integrity, and the mission of creating a safer future.
Position Overview
Avolta is seeking a motivated and talented Machine Learning Student Intern to join our team as part of a co-op program. This internship is designed as an educational and experiential learning opportunity for students passionate about machine learning, particularly computer vision and its applications in security and automotive anti-theft systems.
The internship provides training and applied learning experiences comparable to those available in post-secondary institutions, with a focus on skill development and knowledge transfer rather than organizational benefit. Interns will work under the close guidance of professionals, ensuring a supportive and supervised environment. Please note that this is an unpaid, pro bono opportunity, intended strictly for students seeking co-op credit and academic enrichment.
Key Responsibilities
Assist in the development and implementation 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.
Required Qualifications
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.
Preferred Qualifications
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.
Sprachkenntnisse
- English
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