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.
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