Computer Vision Engineer (Internship)

Job Description

As an ML Computer Vision Intern, you will work closely with the senior computer vision team to support the development of cutting-edge computer vision and machine learning solutions for generative ai applications.

Responsibilities

• Mandatory prior work or internship experience in Computer Vision and Deep Learning for object recognition and detection, image processing. Experience on platforms like Pytorch/Tensorflow/Keras and AWS shall be considered a big plus.
• Design, develop, and implement cutting-edge machine learning models and algorithms for Generative AI and Computer Vision applications, focusing on areas such as image generation, visual transformers and segmentation.
• In-depth understanding of image processing algorithms, pattern recognition methods, and rule-based classifiers.
• Strong hands-on coding and best practices using Python.
• Utilize computer vision techniques including object detection, segmentation, and tracking to develop robust and accurate models for various applications.

Education + Experience

• Persuing Bachelors Degree in Computer Science/ MSC in Computer Science.
• At least 6 months of experience in Python Programming Language.
• Solid understanding of software engineering best practices, version control systems (e.g., Git), and agile development methodologies.
• Have a Knowledge of Deployment on Cloud Platforms.
• Proven experience in large-scale data processing, preprocessing, and feature engineering, with an emphasis on handling diverse and unstructured visual data.
• Proficiency in Python programming language and solid familiarity with frameworks and libraries such as TensorFlow, PyTorch, Keras, and OpenCV.

Other Benifits

• Internship Completion Certificates.
• Project Completion letter.
• Letter of Recommendations.
• Get a Chance to work on Company live project.
• Work on projects under the mentorship and guidance by developers.