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Deep Learning Engineer
Tomorrow World Technology (TWT)Amravati, IN3 days ago
Job descriptionBuild and optimize multimodal fusion architectures combining image, video, and geospatial sensor data Implement and fine-tune object detection and segmentation models including RCNN, Fast R-CNN, Mask Conduct research and experimentation on large-scale image and video analytics, 3D reconstruction, and Develop scalable pipelines for model training, hyperparameter tuning, and inference optimization using Lead model deployment across GCP-based workflows and design cloud-native AI inference automation Collaborate with drone engineers to integrate AI models into flight programs and edge devices ensuring Work with annotation teams using Labelbox, Supervisely, or CVAT to enhance dataset quality and Maintain compliance with geospatial AI data security and regulatory standards ensuring ethical AI 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
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
for real-time decision-making
R-CNN, YOLOv5, SAM, and zero-shot models
scene understanding
TensorFlow / PyTorch, TensorBoard, and distributed computing (Ray, Dask, Spark)
systems
low-latency inference and autonomy
labeling accuracy
deployment and adherence to data-handling protocols
Required Skills :
Preferred (Bonus) Skills :
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Deep Learning Engineer • Amravati, IN
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