:

- Develop and implement machine learning models and algorithms for computer vision applications.
- Conduct research, experimentation, and prototyping to enhance the accuracy and efficiency of computer vision systems.
- Train, fine-tune, and optimise machine learning models to handle a variety of manufacturing tasks, such as quality control, defect detection, object recognition, and process optimisation.
- Create robust, scalable, and production-ready code for the deployment of machine learning models on manufacturing lines.
- Keep up to date with the latest advancements in machine learning and computer vision technologies and bring innovative ideas to the team.
- Collaborate with customers to understand their unique manufacturing challenges and tailor solutions to meet their specific needs.

Skills :





- 3+ years of experience working in computer vision and machine learning.
- Knowledge of machine learning and computer vision libraries such as PyTorch, YOLO, TensorFlow, Keras, scikit-learn, OpenCV, and PIL is essential.
- Proficiency in unsupervised and semi-supervised learning techniques.
- Proficiency with autoencoders is a good plus to have.
- Proven research or practical experience in developing algorithms for image processing, content-based video/image analysis, object detection, segmentation, and tracking.
- Solid optimization and debugging skills.
- Experience using traditional computer vision techniques.

📌 Xcelore - AI Computer Vision Engineer (India)
🏢 Xcelore
📍 India