;

; 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 creative 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

Strong optimization and debugging skills

Experience using traditional computer vision techniques

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI Computer Vision Engineer (Noida)
🏢 Xcelore
📍 Noida