Senior Software Developer working on ML Infrastructure and Deployment at Verafin. Helping develop cutting - edge fraud detection tools alongside analytics teams using AWS and Terraform.
RD
Hybrid Machine Learning Intern – Computer Vision
Posted 2 months ago
About the role
- Machine Learning Intern developing computer vision solutions for hands-on learning. Collaborating with the software team on real-world applications in a hybrid setting.
Responsibilities
- Assist in designing, developing, and deploying machine learning models for computer vision applications, including image and video analysis, object detection, and facial recognition.
- Work with datasets to help train and validate machine learning models.
- Assist in optimizing and improving the performance of machine learning models using frameworks like TensorFlow, PyTorch, and Keras.
- Collaborate with cross-functional teams to define project requirements and contribute to the delivery of scalable solutions.
- Help implement machine learning solutions on edge devices for real-time inference.
- Stay up to date with the latest research and trends in machine learning and computer vision.
- Participate in code reviews and contribute to improving code quality.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with coursework or projects focused on Machine Learning/Computer Vision.
- Proficiency in Python or other programming languages commonly used in machine learning.
- Familiarity with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Basic understanding of computer vision tasks, such as image classification, object detection, and image segmentation.
- Willingness to learn and improve skills in machine learning and computer vision.
- Good communication skills, both written and verbal, with the ability to collaborate in a team setting.
- A strong interest in AI and computer vision technologies.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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