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Deep Learning Engineer

Deep Learning Engineer

Tomorrow World Technology (TWT)Pushkar, IN
3 days ago
Job description

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
  • Create a job alert for this search

    Deep Learning Engineer • Pushkar, IN

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