Visionary AI Developer

1 day ago

Aluva, Kerala, India beBeeArtificialIntelligence Full time US$ 1,00,000 - US$ 1,20,000
Job Overview:

We are seeking a highly skilled AI/ML Engineer to join our team and contribute to the development of cutting-edge computer vision and sensor fusion models for UAV platforms.

The successful candidate will design, train, and deploy models that enable real-time inference on Jetson-class edge devices, focusing on object detection, anomaly detection, EO/IR fusion, and more.

As an AI/ML Engineer, you will work closely with RF engineers to develop hybrid detection systems and collaborate with cross-functional teams to integrate MLOps workflows and performance monitoring.

Key Responsibilities:
  • Develop and deploy real-time computer vision models for object/person/vehicle detection, tracking, and re-identification 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, and CUDA.
  • Generate synthetic datasets for rare threat scenarios.
  • Collect, annotate, and retrain models from field UAV test data.
  • Collaborate with cross-functional teams to integrate Weather Guard AI integration for weather-aware perception tuning.
Required Skills & Qualifications:
  • 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 experience 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.

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