On-Site
Full-Time
Ahmedabad, Gujarat
India
About the Role
About the Role:
We are looking for a passionate and skilled Computer Vision Engineer (1-3 Years) to join our team. You will work on cutting-edge projects involving image and video analysis, object detection, facial recognition, and more. Your role will include building efficient, real-time computer vision systems that solve real-world problems.
Key Responsibilities:
Design and implement computer vision algorithms for image classification, object detection, tracking, segmentation, and pose estimation.
Work with deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.
Build and optimize models for real-time performance and scalability.
Collect, preprocess, and annotate image/video datasets.
Collaborate with data scientists, ML engineers, and software developers to integrate models into production environments.
Research and stay up-to-date with the latest trends and advancements in the computer vision domain.
Write clean, maintainable, and well-documented code.
Requirements:
Bachelor’s/Master’s degree in Computer Science, AI, Robotics, or a related field.
Strong knowledge of image processing, feature extraction, and machine learning.
Hands-on experience with OpenCV, TensorFlow, PyTorch, or similar libraries.
Familiarity with deep learning architectures like CNNs, RNNs, GANs, etc.
Solid programming skills in Python or C++.
Experience with tools such as YOLO, Detectron2, or MediaPipe is a plus.
Knowledge of deploying ML models on cloud or edge devices is an advantage.
We are looking for a passionate and skilled Computer Vision Engineer (1-3 Years) to join our team. You will work on cutting-edge projects involving image and video analysis, object detection, facial recognition, and more. Your role will include building efficient, real-time computer vision systems that solve real-world problems.
Key Responsibilities:
Design and implement computer vision algorithms for image classification, object detection, tracking, segmentation, and pose estimation.
Work with deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.
Build and optimize models for real-time performance and scalability.
Collect, preprocess, and annotate image/video datasets.
Collaborate with data scientists, ML engineers, and software developers to integrate models into production environments.
Research and stay up-to-date with the latest trends and advancements in the computer vision domain.
Write clean, maintainable, and well-documented code.
Requirements:
Bachelor’s/Master’s degree in Computer Science, AI, Robotics, or a related field.
Strong knowledge of image processing, feature extraction, and machine learning.
Hands-on experience with OpenCV, TensorFlow, PyTorch, or similar libraries.
Familiarity with deep learning architectures like CNNs, RNNs, GANs, etc.
Solid programming skills in Python or C++.
Experience with tools such as YOLO, Detectron2, or MediaPipe is a plus.
Knowledge of deploying ML models on cloud or edge devices is an advantage.