🚀 Hiring: Deep Learning Engineer – Computer Vision & Autonomy
📍 Remote
📝 Contract: 9 Months
⚡ Immediate Requirement
We are seeking a highly experienced Deep Learning Engineer with strong expertise in Computer Vision, Sensor Fusion, Multimodal AI, and Autonomous Systems to support advanced R&D in autonomous aerial systems and geospatial intelligence.
🔥 Key Responsibilities
- Develop deep learning–based perception systems for drones & autonomous platforms using vision, LiDAR, radar, IMU sensor data
- Build multimodal fusion architectures for real-time decision-making
- Train & optimize object detection/segmentation models: RCNN, Fast/Mask R-CNN, YOLOv5+, SAM, zero-shot models
- Research large-scale image/video analytics, 3D scene understanding, reconstruction
- Build scalable pipelines for training, tuning & inference using TensorFlow, PyTorch, Ray, Dask, Spark
- Deploy AI models on GCP-based workflows, enabling real-time autonomy
- Integrate models into drone flight systems & edge devices
- Manage annotations using Labelbox, Supervisely, CVAT
- Ensure compliance with geospatial AI, data security, and regulatory guidelines
🧠 Required Skills
✔ Deep Learning, Computer Vision
✔ PyTorch / TensorFlow
✔ Object Detection & Segmentation (RCNN, YOLO, SAM)
✔ Multichannel geospatial & sensor fusion datasets
✔ 3D Point Cloud processing
✔ Python
✔ Distributed Computing (Ray / Dask / Spark)
✔ Cloud AI (GCP preferred)
✔ Model compression, quantization & edge inference
✔ Data labeling workflows
✔ 3D reconstruction
✔ Bachelor’s/Master’s in CS, AI, Robotics or related
✔ Eligibility for SECRET-category background check
⭐ Preferred Skills
- AWS / Azure
- Experience with edge AI devices
- Immediate or 30-day joiners preferred
- Knowledge of ethical AI & regulatory compliance
📩 Apply / Refer
📧 Email: riyaz.ltpl@gmail.com
📱 WhatsApp: +91 9595175635
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