Deep Learning Engineer

3 weeks ago

Hubli, India SystemBender Full time

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.Key Responsibilities:* 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 protocolsRequired Skills:* 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 regulationsPreferred (Bonus) Skills:* 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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