Intern- AI Data Engineering (QC08291)

Job Description 

Job Title: Development & AI Automation Intern 

Duration: 6 months 

Location: Bangalore (In-office) 

About the role 

We are seeking a Development & AI Automation Intern to automate our geospatial analytics digitization workflows. You will focus on building tools using AI and using models for fast digitization of large-scale geospatial and point cloud datasets. This is a hands-on role where you will learn to use GIS industry-standard workflows, invent new tools for fast digitization, leverage AI to fullest, run model inference, while directly completing the goal of creating a high quality ML ready data repository for all data science projects. 

Key Responsibilities 

• Build tools using python and existing models for automatically digitizing, large-scale ortho-mosaics, digital elevation model, point clouds and LiDAR datasets for mining and infrastructure use cases 

• Ensure very high accuracy of dataset and create quick targeted QC tools for all the features. Perform detailed quality control (QC) and accuracy checks on datasets. 

• Create automated pipelines for digitization to improve efficiency and repeatability of workflows. 

• Collaborate with the data science, engineering and product teams to integrate outputs into Aereo Cloud workflows. 

• Document digitization tools and workflows and contribute to internal best practices. 

Required Skills 

• Currently enrolled in B.Tech / M.Tech / M.S / M.E / M.Sc or related fields (final-year students or fresh graduates preferred). 

• Interest in spatial reasoning and working with 2D/3D data for advanced spatial functions. 

• Proficient in Python programming, with hands-on experience in data/ML libraries such as - GDAL, PDAL, Scikit-learn, PyTorch (or related libraries) 

• Understanding of mathematical principles in Linear Algebra, Statistics, and Probability. 

• Familiarity and hands-on experience with GIS and CAD geoprocessing software, such as QGIS, ArcGIS, Global Mapper and MicroStation (with Terra solid packages) 

• Understanding of core geospatial concepts such as projections, DEM/DTM, and 3D visualization. 

• Very strong attention to detail and ability to work with large datasets efficiently across teams. 

• Innovative and structured, problem-solving mindset with a curiosity for optimization and automation. 

• Ability to fully leverage AI to gain speed in development while maintaining code quality. 

Preferred Skills 

• Experience in creating automation tools and pipelines for geospatial data processing (e.g., digitization, model inference, etc.). 

• Familiarity with AI-based automation tools for geospatial workflows. 

• Exposure to point cloud / LiDAR data processing workflows. 

• Experience with geospatial tools for batch processing large datasets.