Computer Vision Intern

Job Description:

Responsibilities

• Develop and test computer vision models using real-world and curated datasets.
• Handle image data preprocessing, annotation, and dataset management.
• Implement computer vision and deep learning techniques under the guidance of senior engineers.
• Evaluate model performance, benchmark results, and document findings clearly.
• Collaborate with the team to understand requirements and iterate on solutions.
• Support the AI engineering team with experimentation, applied research and prototyping.

Qualification & Experience

• Proficiency in Python with the ability to write scripts and handle data processing workflows.
• Basic familiarity with OpenCV, NumPy, TensorFlow, or PyTorch (at least one).
• Understanding of fundamental deep learning concepts (training, validation, loss functions, overfitting).
• Basic knowledge of image data handling and preprocessing.
• Awareness of modern AI concepts such as LLMs or Generative AI.
• Candidate of B.Tech / BCA / BSc / MCA / M Tech / Any equivalent degree (pursuing or completed).
• Prior project or coursework or certification specifically involving computer vision tasks.
• Familiarity with model fine-tuning or transfer learning approaches.
• Familiarity with YOLO and Pipelines Awareness of modern AI concepts such as LLMs or Generative AI.
• Understanding of model evaluation metrics such as precision, recall, and mAP.