Machine Learning/Computer Vision Engineer - Python/Tensorflow/OpenCV

About the Company : At Vikgol, we are at the forefront of leveraging cutting-edge geospatial data and computer vision technologies to drive innovation. Our projects involve analyzing complex, multi-dimensional datasets to provide insights that can transform industries such as utilities, infrastructure, and the environment. If you're a Computer Vision expert who is passionate about creating models from scratch and working with 3D and exotic datasets, we want to hear from you Role Summary : We are seeking a Computer Vision Engineer with 2-5 years of experience to join our dynamic team. The ideal candidate will have a strong background in computer vision, and working knowledge of geospatial data and 3D modeling techniques. Experience working with LIDAR datasets, temperature and depth sensors, or other non-standard data is a significant advantage. You will contribute to the development of models and solutions that leverage 3D data analytics, helping us solve real-world challenges in industries like energy, utilities, and infrastructure. Key Responsibilities : - Develop, implement, and optimize computer vision models from scratch, tailored to complex 3D and geospatial datasets. - Work with LIDAR, temperature, depth, and other exotic sensor data for geospatial and environmental applications. - Research and stay up-to-date with the latest advancements in computer vision, 3D modeling, and geospatial data processing. - Collaborate with cross-functional teams to integrate computer vision models with other analytics pipelines. - Analyze large, multi-dimensional datasets to extract valuable insights and improve model performance. - Contribute to the development of novel algorithms and techniques to address challenges specific to geospatial data and 3D environments. - Write and maintain clean, efficient, and well-documented code. Qualifications : - 2-5 years of hands-on experience in computer vision, with expertise in model development and implementation. - Strong background in working with 3D datasets, including LIDAR and other sensor data (e.g., depth and temperature sensors). - Proficiency in Python and relevant libraries such as TensorFlow, PyTorch, OpenCV, and similar frameworks. - Experience with 3D data analytics, geospatial modeling, and visualization tools. - Familiarity with geospatial software, including tools like QGIS, GDAL, or equivalent. - Strong knowledge of traditional computer vision tasks (object detection, segmentation, feature extraction) applied to geospatial and 3D data. - Experience in working with large-scale datasets and cloud-based environments for data processing. - Solid understanding of mathematical concepts and techniques used in computer vision and 3D modeling. - Ability to read and comprehend complex research papers, apply findings, and contribute to academic or technical discussions. Preferred Skills : - Experience in geospatial projects, particularly in industries like utilities, infrastructure, or environmental monitoring. - Familiarity with AI applications in geospatial analytics or remote sensing. - Experience with exotic datasets, including LIDAR, temperature, depth sensors, or point cloud data. - Familiarity with working in Agile development environments. - Background in contributing to open-source CV projects or academic publications is a plus. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/25/2024