Job Description

We are seeking a highly skilled and motivated Computer Vision Engineer with 3-4 years of experience to join our team. The ideal candidate will have a strong background in image processing, deep learning, and machine learning techniques, along with hands-on experience in developing and deploying computer vision applications. Key Responsibilities: Design, develop, and optimize computer vision algorithms for tasks such as object detection, tracking, segmentation, depth estimation, and activity recognition. Implement and train deep learning models using frameworks such as TensorFlow, PyTorch, and OpenCV. Process and analyze large-scale image and video datasets to extract meaningful insights. Develop and optimize deep learning pipelines, including dataset preparation, model training, evaluation, and deployment. Work with multiple camera inputs and multimodal data for real-time applications. Collaborate with software engineers and data scientists to integrate computer vision models into production environments. Research and implement the latest advancements in computer vision and deep learning. Debug and troubleshoot issues in vision-based applications, optimizing for accuracy and performance. Work on AI infrastructure, machine learning accelerators, and on-device optimization. Required Qualifications: B.Tech in Computer Science, Electrical Engineering, Electronics, or a related field. Hands-on experience developing learning algorithms for computer vision tasks such as object detection, object tracking, segmentation, optical flow, and multi-view geometry. Strong understanding of deep learning architectures, representational learning, and domain adaptation. Ability to train, debug, and deploy deep learning models, iterating on failure characterization and model improvement. Proficiency in Python and ML/DL frameworks such as TensorFlow, PyTorch, and TensorRT. Experience working with multiple input sources such as cameras, LiDAR, and embedded controllers. Hands-on experience with MLOps tools and methods is a plus. Familiarity with AI infrastructure, machine learning accelerators, and on-device optimization. Strong programming skills with experience in C++, Python, or C#. Experience with version control tools such as Git and development in Linux environments. Highly motivated individual with a strong work ethic, the ability to work independently, and adaptability to a fast-paced environment. Preferred Qualifications: Experience in 3D computer vision, SLAM, or LiDAR processing. Knowledge of adversarial and generative models. Exposure to hardware acceleration and embedded AI deployment. Strong understanding of software development best practices and performance optimization. Interested? Apply now or drop your resume at apin.lal@gadgeon.com