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)