Deep Learning Engineer

Position: Deep Learning Engineer – Computer Vision & Autonomy Engagement Type: Remote Location: Remote Budget: 1.50 LPM + GST EXP 7-9+ YOE

Position Overview: 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 protocols Required 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 regulations Preferred (Bonus) Skills: * AWS * Azure * Experience with edge AI devices * Immediate availability or within 30 days’ notice * Familiarity with ethical AI development and regulatory compliance