;

; 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

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