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Computer Vision Engineer
2 months ago
Join Aividtechvision Pvt Ltd , a fast-growing startup at the forefront of AI and Computer Vision. We are on a mission to develop cutting-edge solutions for real-world challenges. As part of our team, you will work with industry experts to shape the future of AI and contribute to impactful projects that push the boundaries of technology.
Job Description:
We are seeking a Computer Vision Engineer who is passionate about developing innovative AI-based solutions. This role involves working on complex problems in computer vision, machine learning, and deep learning to build state-of-the-art systems. You will be responsible for developing algorithms, optimizing models, and deploying solutions for various computer vision tasks, from object detection to real-time tracking.
Key Responsibilities:
- Design and implement advanced computer vision algorithms for image processing, detection, segmentation, and tracking.
- Lead the development and optimization of deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV.
- Utilize techniques such as YOLOv6, Mask R-CNN, or other state-of-the-art models for object detection and segmentation.
- Work on deploying computer vision models on edge devices and cloud platforms.
- Collaborate with data scientists and engineers to annotate, preprocess, and augment large datasets for model training.
- Optimize existing models for real-time performance and efficiency.
- Conduct experiments and analyze model performance for continuous improvement.
- Research and stay up-to-date with the latest advancements in computer vision and deep learning.
- Support in scaling and improving the AI solutions for various real-world applications.
Requirements:
- Bachelor's or Master’s degree in Computer Science, Electrical Engineering, AI, or a related field.
- Solid experience in computer vision concepts, including object detection, segmentation, and image classification.
- Strong proficiency in deep learning frameworks such as TensorFlow and PyTorch.
- Hands-on experience with model training, fine-tuning, and optimization techniques.
- Knowledge of popular models like YOLOv6, Mask R-CNN, or similar for real-time applications.
- Experience in deploying models on edge devices or cloud infrastructures.
- Strong problem-solving skills with attention to detail.
- Ability to work both independently and in a team environment.
- Excellent communication and documentation skills.
Preferred Qualifications:
- Experience with additional computer vision tasks, including tracking and 3D reconstruction.
- Previous experience in deploying AI models at scale, particularly for edge computing.
- Familiarity with optimization libraries such as TensorRT or OpenVINO.
What We Offer:
- Work on cutting-edge AI and computer vision projects that directly impact real-world industries.
- Collaborative environment with mentorship from experienced professionals.
- Competitive salary with opportunities for professional development and growth.
- Flexible work environment and support for learning new technologies.
How to Apply:
If you are excited about the challenges and opportunities in computer vision, we’d love to hear from you Please submit your resume, portfolio, and any relevant GitHub repositories to our company email.
