Computer Vision Intern

Profile The Computer Vision Intern will contribute to the development and optimization of vision-based AI models powering TensorGo’s enterprise products. This is a hands-on opportunity to work in a fast-paced deep learning environment, solving real-world computer vision challenges and directly impacting model development and product performance. This role will be based in Hyderabad, work from office, for a duration of 6 months as an internship, with a potential PPO based on performance. Requirements • 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). Good to have • Prior project or coursework or certification specifically involving computer vision tasks. • Familiarity with model fine-tuning or transfer learning approaches. • Familiarity with YOLO and detection pipelines. • Understanding of model evaluation metrics such as precision, recall, and mAP. 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.