Machine Learning/Computer Vision Engineer - Python/Tensorflow/OpenCV (2-5 yrs)

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.