RF/Comms Security Engineer

7 days ago

Aluva, Kerala, India Canary Digital Full time ₹ 20,00,000 - ₹ 25,00,000 per year

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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