Hiring For USA based Multinational Company
We are looking for a skilled and innovative Computer Vision Engineer to join our team. You will be responsible for designing, developing, and deploying computer vision models and algorithms that enable machines to interpret and understand visual information. Your work will help solve real-world problems in areas such as object detection, image classification, tracking, 3D reconstruction, facial recognition, and more.
- Design and implement computer vision algorithms for tasks such as object detection, segmentation, image recognition, tracking, OCR, etc.
- Optimize and scale models for performance and real-time processing.
- Collect and annotate datasets as needed for training computer vision models.
- Train and fine-tune models using deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
- Evaluate model performance using appropriate metrics and improve models through experimentation.
- Integrate vision models into production systems (cloud-based, edge devices, or mobile platforms).
- Collaborate with software, hardware, and data engineering teams to deploy scalable solutions.
- Optimize inference performance for deployment on limited-resource environments (e.g., mobile, embedded systems).
- Stay up to date with the latest advancements in computer vision and deep learning.
- Research and experiment with state-of-the-art methods (e.g., transformer-based models, self-supervised learning, multi-modal systems).
- Contribute to innovation and IP creation, including white papers and patents.
- Work cross-functionally with product managers, engineers, and data scientists to translate business requirements into technical solutions.
- Present findings, prototypes, and performance reports to both technical and non-technical stakeholders.