Posted:14 hours ago|
Platform:
On-site
Contractual
An experienced Deep Learning Engineer specializing in Computer Vision, Sensor Fusion, and Multimodal AI to advance R&D; in autonomous aerial systems and geospatial intelligence, working with large-scale datasets for drone flight, sensor data integration, and vision-based autonomy.
* Design and develop deep learning-based perception systems for drones and autonomous platforms leveraging vision, LiDAR, radar, and IMU sensor data
* Build and optimize multimodal fusion architectures combining image, video, and geospatial sensor data for real-time decision-making
* Implement and fine-tune object detection and segmentation models including RCNN, Fast R-CNN, Mask R-CNN, YOLOv5, SAM, and zero-shot models
* Conduct research and experimentation on large-scale image and video analytics, 3D reconstruction, and scene understanding
* Develop scalable pipelines for model training, hyperparameter tuning, and inference optimization using TensorFlow/PyTorch, TensorBoard, and distributed computing (Ray, Dask, Spark)
* Lead model deployment across GCP-based workflows and design cloud-native AI inference automation systems
* Collaborate with drone engineers to integrate AI models into flight programs and edge devices ensuring low-latency inference and autonomy
* Work with annotation teams using Labelbox, Supervisely, or CVAT to enhance dataset quality and labeling accuracy
* Maintain compliance with geospatial AI data security and regulatory standards ensuring ethical AI deployment and adherence to data-handling protocols
* Deep Learning
* Computer Vision
* PyTorch
* TensorFlow
* Object detection and segmentation architectures (RCNN, YOLO, SAM)
* Multichannel geospatial datasets
* Sensor fusion
* 3D point cloud processing
* Python
* Distributed computing (Ray, Dask, Spark)
* Cloud-based AI workflows (GCP preferred)
* Model compression and quantization
* Performance optimization for on-device inference
* Data annotation tools
* 3D reconstruction techniques
* Bachelor’s or Master’s in Computer Science, Machine Learning, Engineering, or related field
* Eligibility for SECRET-category background checks
* Compliance with geospatial and high-resolution imagery regulations
* AWS
* Azure
* Experience with edge AI devices
* Immediate availability or within 30 days’ notice
* Familiarity with ethical AI development and regulatory compliance
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