Geospatial Vision Engineer

ImageVision.ai

Hyderabad

On-site

INR 400,000 - 600,000

Full time

14 days+

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Benefits offered by this job

Competitive salary

Collaborative work environment

Cutting-edge projects

Job summary

A cutting-edge technology firm in Hyderabad is seeking an entry-level Geospatial Vision Engineer. You will develop advanced vision algorithms focusing on 3D depth estimation and multi-sensor object detection. The role requires experience in programming with Python and C++, along with knowledge of deep learning tools and techniques. This position offers a collaborative work environment and the opportunity to contribute to innovative AI applications.

Qualifications

2+ years of strong programming skills in Python and C++.
Proficiency in deep learning architectures like CNNs, RNNs, and Vision Transformers.
Experience working with LiDAR and drone-mounted sensors.

Responsibilities

Develop and optimize geospatial vision algorithms.
Integrate multi-sensor data for object detection.
Deploy AI models into production environments.

Skills

Programming skills in Python

Programming skills in C++

Experience with OpenCV

Experience with TensorFlow

Experience with PyTorch

Hands-on experience with YOLO

Proficiency in CNNs

Proficiency in RNNs

Expertise in 3D depth estimation

Familiarity with cloud computing platforms

Education

Bachelor’s or Master’s degree in Computer Science

Tools

OpenCV

TensorFlow

PyTorch

Keras

Scikit-learn

Open3D

Job description

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ImageVision.AI is an AI-driven company specializing in cutting-edge computer vision and deep learning solutions for various industries, including healthcare, security, retail, and autonomous systems. In 2024, CIO Tech Outlook recognized ImageVision.AI as one of the "10 Most Promising Computer Vision Startups."

Our mission is to leverage state-of-the-art AI models to develop innovative, real-world applications that transform businesses. Join us and be part of a team pushing the boundaries of AI-powered vision technology!

About the Role:

We are seeking a skilled Geospatial Vision Engineer with 2+ years of experience to join our team. You will be responsible for developing and optimizing advanced vision algorithms, focusing on 3D depth estimation, geospatial analysis, multi-sensor object detection, and drone-based 3D vision. If you are passionate about AI, sensor fusion, and working with LiDAR, point cloud, hyperspectral cameras, and drone imaging, we would love to hear from you!

Key Responsibilities:

Develop and Optimize Geospatial Vision Algorithms:
Design, implement, and optimize computer vision and deep learning models for 3D depth estimation, geospatial analysis, and 3D object detection.
Implement and fine-tune object detection models for multi-sensor fusion, integrating LiDAR, hyperspectral imaging, point cloud data, and drone-based 3D vision.
Train, fine-tune, and deploy deep learning models using TensorFlow, PyTorch, OpenCV, and Scikit-learn.
Work with CNNs, transformers, and self-supervised learning techniques for geospatial applications.
Optimize models for edge computing and real-time processing in autonomous systems and drones.
Experience with 3D Annotation tools for 3D data preparation
Process and augment large-scale 3D datasets including LiDAR, satellite imagery, drone imaging, and hyperspectral and depth estimation data.
Optimize model performance for real-time applications on cloud and embedded platforms.
Software Development & Deployment:
Develop efficient Python/ C++ pipelines for real-time 3D vision and geospatial processing.
Deploy AI models into production environments, drones, and autonomous systems.
Work closely with AI Team and Application product team to develop innovative solutions.
Stay updated with the latest research in geospatial vision, deep learning, drone-based vision, and 3D reconstruction.

Required Qualifications:

Education:
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Remote Sensing, or a related field.
Technical Skills:
2+ years of strong programming skills in Python and C++.
Experience with OpenCV, TensorFlow, PyTorch, Keras, and Scikit-learn.
Proficiency in deep learning architectures like CNNs, RNNs, and Vision Transformers.
Hands-on experience with object detection and segmentation models such as YOLO, Faster R-CNN, and SSD.
Proficiency in 3D libraries such as Open3D, PCL (Point Cloud Library), PDAL, and Meshlab.
Expertise in geospatial vision, 3D depth estimation, multi-sensor fusion, and drone-based 3D vision.
Experience working with LiDAR, point cloud, hyperspectral cameras, satellite imagery, and drone-mounted sensors.
Familiarity with cloud computing platforms (AWS, Google Cloud).
Understanding of MLOps tools (Docker, Kubernetes, ONNX, TensorRT, or OpenVINO).
Soft Skills:
Strong analytical and problem-solving abilities.
Ability to work independently and within a team.
Excellent communication skills in English.

Why Join ImageVision.AI?

Work on cutting-edge AI, geospatial vision, and drone-based 3D vision projects.

Opportunity to contribute to real-world applications.

Collaborative and fast-paced AI-driven environment.

Competitive salary and benefits.

Seniority level