Computer Vision Lead ClearTrail Technologies
ClearTrail Technologies
Office Location
Full Time
Experience: 10 - 10 years required
Pay:
Salary Information not included
Type: Full Time
Location: All India
Skills: Opencv, PyTorch, Tensorflow, Keras, MMDetection, Detectron2
About ClearTrail Technologies
Job Description
As a key member of the ClearTrail team, your role will involve leading the development of advanced AI/computer vision capabilities for analyzing and fusing imagery from drones, satellites, and ground-based video feeds. You will be responsible for designing and implementing computer vision models for aerial and terrestrial video data, as well as architecting data fusion pipelines across multiple visual and spatiotemporal modalities. Additionally, you will guide research initiatives into cross-resolution image fusion, change detection, and anomaly identification, collaborating closely with platform, data, and MLOps teams to ensure the successful productionization of models. To excel in this role, you must possess expertise in deep learning frameworks such as PyTorch, TensorFlow, and Keras, along with proficiency in vision/model libraries like MMDetection, Detectron2, and OpenCV. Experience with multi-source data fusion, including drone-satellite alignment, optical/LiDAR fusion, or time series modeling, is essential. Additionally, familiarity with remote sensing data, such as Sentinel, Landsat, and PlanetScope, would be advantageous. The ideal candidate will hold a qualification of B.E./B.Tech/MCA/M.Tech and have accumulated 10-12 years of relevant experience. The role is based in Indore and is a full-time, permanent position with a day shift schedule from Monday to Friday. As this is an onsite opportunity, willingness to relocate to Indore is required. If you are ready to take on this exciting challenge and contribute to the future of intelligence gathering through cutting-edge AI and computer vision technologies, we encourage you to apply before the application deadline of 01/08/2025. The expected start date for this role is 04/08/2025.,