Intern- Data Science

Job Description

AEREO (earlier known as Aarav Unmanned Systems) is India s leading drone solution tech startup in the commercial segment. We provide end to end solutions to government and private enterprises in the field of mining & metals, urban planning, large infrastructure, irrigation, agriculture and energy. We are early starters and market leaders in the Indian drone industry. Our belief is to solve real problems and use drone technology as a revolution. Our strength is our perseverance, clarity, collaborative approach, innovation and our team. We are funded by some of the well-known Indian VCs in our growth journey so far. However, our business is already self-sustaining and growing at a fast pace. We love machines, especially aerial robots and believe that drones are shaping the future of the world. Aereo is actively looking for self-driven and process-oriented individuals who would be interested in joining team Aereo in this fascinating growth journey and be an early contributor to the drone ecosystem of the country which is growing at a very exciting and fast pace. The role pertains to the Platform Team in Aereo whose charter is to build and maintain our cloud-based enterprise SaaS platform, Aereo Cloud. Aereo Cloud is a powerful platform which enables organizations to store, manage, visualize and analyze their drone-based geospatial data at PB-scale and generate critical and actionable business insights based on this data. About the Role The Data Science Team is looking for a Data Science Intern to support the development and deployment of scalable 2D/3D computer-vision algorithms and AI agents across mapping, surveying, mining, and infrastructure applications. You ll work alongside Data Scientists, MLOps engineers, and Platform developers to take models from prototype to production. Duration: 6 months Location: Bangalore (In-office) Key Responsibilities Pipeline Development: Assist in building end-to-end ML workflows data ingestion, model inference, post-processing, and visualization. Model Prototyping: Prototype and benchmark CNN, Transformer, or multi-modal architectures for detection, segmentation, and 3D reconstruction. Data Preparation: Collect, clean, and annotate imagery and 3D point-cloud data for training and validation. Optimization: Learn and apply quantization, pruning, and other techniques for low-latency, high-throughput inference. AI Agents: Contribute to intelligent agents that automate data pipelines, trigger alerts, and assist non-technical users. Documentation & Communication: Write clear code comments, README files, and present progress in team meetings. Requirements Currently enrolled in (or recently graduated from) a B.Tech/M.Tech/MS/ME program in CS, EE, Remote Sensing, or related field Proficient in Python and familiar with ML frameworks (PyTorch, TensorFlow) Coursework or projects in computer vision, 3D vision, or robotics (e.g., image segmentation, point-cloud processing) Solid grasp of ML fundamentals (CNNs, optimization, metrics) Strong analytical and problem-solving skills, with a proactive learning attitude Preferred Skills Experience with OpenCV, PCL, or similar vision/3D libraries Exposure to cloud platforms (AWS, GCP, Azure) or containerization (Docker, Kubernetes) Interest or experience in geospatial data (GIS, satellite imagery, LiDAR) Familiarity with MLOps concepts (model versioning, CI/CD, monitoring) Excellent written and verbal communication