Python Developer – 3D Point Cloud Data
6 days ago
We are seeking a passionate Python Developer with a strong interest in 3D Point Cloud Data processing, computer vision, and spatial data visualization. The ideal candidate will work on developing tools and algorithms to process, analyze, and visualize large-scale 3D datasets captured from LiDAR, drones, or 3D scanners.
Key Responsibilities:
- Develop, optimize, and maintain Python-based pipelines for 3D Point Cloud data processing.
- Perform data filtering, denoising, registration, and segmentation on large point cloud datasets.
- Implement and integrate algorithms for object detection, classification, and feature extraction from 3D data.
- Visualize and manipulate 3D data using libraries like Open3D, PCL (Point Cloud Library), or VTK.
- Work with GIS and coordinate systems to ensure spatial accuracy and georeferencing of 3D datasets.
- Collaborate with the ML team to train and deploy deep learning models for 3D semantic segmentation or object recognition.
- Manage database integration for efficient storage, retrieval, and versioning of large 3D datasets.
- Create interactive visualization tools or dashboards using Dash, Plotly, , or for 3D data exploration.
Required Skills & Qualifications:
- Proficiency in Python programming with experience in NumPy, Pandas, OpenCV, and Matplotlib.
- Experience with 3D or spatial libraries such as Open3D, PyVista, PCL, or VTK.
- Basic understanding of Point Cloud formats (e.g., .las, .ply, .pcd) and LiDAR data structures.
- Familiarity with TensorFlow, PyTorch, or scikit-learn for machine learning and deep learning applications.
- Strong understanding of 3D geometry, coordinate transformations, and spatial analysis.
- Experience with database systems (SQL or NoSQL) for managing large datasets.
- Knowledge of data visualization and EDA techniques.
- Problem-solving mindset with attention to accuracy and performance.
Preferred Skills (Good to Have):
- Experience with GIS tools (QGIS, GDAL, or GeoPandas).
- Exposure to web-based 3D visualization frameworks like , , or
- Familiarity with cloud-based data storage or 3D data APIs.
- Knowledge of computer vision or 3D reconstruction techniques.
Educational Qualification:
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Geoinformatics, or a related field.
Why Join Us:
- Work on cutting-edge 3D data technologies used in Smart Cities, Infrastructure, and GIS applications.
- Opportunity to collaborate with a team of AI, ML, and 3D visualization experts.
- Exposure to real-world 3D datasets from LiDAR and drone systems.
- Flexible and innovation-driven work culture.
Job Type: Full-time
Pay: ₹9, ₹46,506.46 per month
Work Location: In person
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