Software /AI Engineer (UAV)

Role: Software & AI engineer

Location: On-site (Surat)

Role

A Software & AI Engineer to develop and deploy real-time AI models for UAV systems, focused on anomaly detection, object tracking, and intelligent alerting, fully integrated with our Ground Control Station (GCS).

The role involves building end-to-end AI pipelinesfrom model training to deployment on drone hardware and visualisation in GCS.

Key Responsibilities

AI Model Development

Develop and train ML/DL models for: PPE detection (helmet, safety jacket, goggles, etc.), Intrusion detection and anomaly detection

Work with: Image/video datasets, Real-time inference pipelines

Object Tracking & Following

Implement: Object detection, tracking, and re-identification, Locking and following specific targets

Optimise for: Real-time performance on edge devices

Drone-side AI Integration

Deploy AI models on: Edge devices (Jetson, Raspberry Pi, etc.)

Ensure: Low latency inference, Efficient resource utilisation

GCS Integration

Integrate AI outputs into the GCS application: Real-time video overlays (bounding boxes, alerts), Event-based notifications

Work closely with GCS developers for: Data pipelines and visualisation

Alert & Communication System

Develop automated alert systems: Trigger alerts based on AI detections, send notifications via WhatsApp or other communication channels

Ensure reliable and fast alert delivery

Software Development

Build scalable backend/frontend components for: Data processing, AI inference pipelines

Work with APIs and real-time streaming systems

Testing & Optimization

Optimise models for: Accuracy and precision, Low latency and real-time performance

Perform: Field testing with drones, Model validation and tuning

Required Skills

Strong experience in: Machine Learning / Deep Learning, Computer Vision (OpenCV, object detection frameworks)

Hands-on with: Model training, evaluation, and deployment

Experience with: Real-time video processing

Technical Stack

Programming: Python (mandatory), C++ (preferred)

Frameworks: TensorFlow / Py-torch / YOLO / OpenCV

Edge AI: Jetson / Raspberry Pi deployment

Preferred

Experience in: UAV/drone-based AI systems, GCS or real-time monitoring platforms

Knowledge of: Tracking algorithms (SORT, Deep-SORT, etc.), Streaming protocols (RTSP, WebRTC)

Profile

Strong problem-solving and experimentation mindset

Ability to build end-to-end AI systems (training deployment visualization)

Focus on real-world performance and reliability

Scope

AI-based drone surveillance systems

PPE compliance and anomaly detection

Real-time tracking and autonomous following

Smart alert and monitoring systems

Why Join Us

Work on cutting-edge AI + drone systems

Build real-world impactful solutions (safety, defence, automation)

Opportunity to develop full-stack AI systems (edge + GCS)