Job Description
Role: Software & AI engineer
Location: In office (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)
📌 Software /AI Engineer (UAV) (Surat)
🏢 Coreehs
📍 Surat