RF/Comms Security Engineer
1 week ago
AI/ML Engineer (UAV Perception)
Position:
AI/ML Engineer (3–4 roles)
Location:
Aluva / Kochi, India (with field testing at UAV ranges)
Department:
UAV AI Division, Canary
Role Overview
As an
AI/ML Engineer (UAV Perception)
, you will design, train, and deploy computer vision and sensor fusion models for Canary Digital's UAV platforms. Your work will focus on
object detection, anomaly detection, EO/IR fusion, and real-time inference on Jetson-class edge devices
, enabling UAVs to autonomously detect threats, intrusions, and unusual occurrences. You will collaborate with UAV Systems Engineers and RF/Comms specialists to deliver an
end-to-end AI-powered UAV solution
for defense and security.
Key Responsibilities
- Develop and deploy
real-time computer vision models
(object/person/vehicle detection, tracking, re-ID) on Jetson devices. - Build
change detection and anomaly detection pipelines
for perimeter security and patrol missions. - Integrate
EO (RGB) + IR (thermal) sensor fusion models
for day/night operations. - Optimize models for
low-latency inference
using TensorRT, DeepStream, CUDA. - Create
synthetic datasets
for rare threat scenarios (weapons, intrusions, tampering). - Collect, annotate, and retrain models from
field UAV test data
. - Collaborate with RF engineers for
friend/foe beacon + CV hybrid detection
. - Implement
MLOps workflows
: versioned datasets, model deployment pipelines, performance monitoring. - Support
Weather Guard AI integration
for weather-aware perception tuning.
Required Skills & Experience
- 2–6 years of experience in
AI/ML or Computer Vision engineering
. - Strong background in
Deep Learning frameworks
(PyTorch, TensorFlow). - Proficiency in
object detection/tracking architectures
(YOLOv8, Detectron2, EfficientDet, SORT/DeepSORT). - Familiarity with
anomaly detection methods
(autoencoders, clustering, unsupervised ML). - Hands-on with
NVIDIA Jetson platform
(TensorRT, DeepStream, CUDA). - Strong Python/C++ coding skills.
- Experience with
dataset annotation, augmentation, and synthetic data generation
.
Preferred Background
- Prior projects in
autonomous systems, robotics, or defense AI
. - Experience with
AirSim/Gazebo simulation data pipelines
. - Knowledge of
multi-sensor fusion
(EO/IR, lidar, radar). - Familiarity with
real-time constraints
in embedded AI systems.
What We Offer
- Work on
mission-critical UAV AI perception systems
with national impact. - Collaborate with UAV engineers, RF specialists, and defense partners.
- Access to
Jetson dev kits, EO/IR sensors, UAV test flights
. - Competitive salary + performance-based incentives
-
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