
Computer Vision Engineer
4 weeks ago
Job Description :
Key Responsibilities :
- Algorithm Development : Design and optimize computer vision and deep learning algorithms for 3D applications.
- Model Deployment : Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment on edge devices after optimization to meet customer requirements
- Research and Innovation : Prototype new solutions based on the latest advancements in AI, machine learning, and computer vision.
- Cross-Functional Collaboration : Integrate algorithms into 3D rendering systems and work closely with the team to meet project goals. Collaborate with hardware engineers to fine-tune models for power, latency, and throughput constraints
- Documentation : Maintain code quality and document solutions for easy reference.
Qualifications :
- Experience : 3 or 3+ years in computer vision, deep learning, and AI.
- Education : Bachelor's or Master's in Computer Science, Data Science, Electrical Engineering, or related field.
Technical Skills :
- Proficiency in C, C++, OpenGL, Objective C, Swift, Python, PyTorch, TensorFlow, and OpenCV.
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- Knowledge of algorithms and data structures relevant to computer vision.
- Hands-on experience with NVIDIA platforms IGX, Jetson, or Xavier. (Experience with NVIDIA SDKs (e.g., DeepStream, TensorRT, CUDA, TAO Toolkit)
- Concepts of parallel architecture on GPU is an added advantage.
- Knowledge in linear algebra, calculus, and statistics
- Preferred : Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD, Terraform, Docker, and Kubernetes)
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