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, Productive 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)

📌 Software & AI Engineer - UAV Systems (India)
🏢 CORE EHS
📍 India