RF/Comms Security Engineer

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