Artificial Intelligence/Machine-Deep Learning/Computer Vision Emgineer

1 - 5 years

10 - 15 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Description

Job Summary
  • As a Computer Vision and AI/ML Engineer, youll be responsible for designing and deploying advanced algorithms in computer vision, image processing, and deep learning
  • Collaborating with our 3D development team, youll build state-of-the-art models to enhance our applications in 3D reconstruction, object detection, and 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 3 or 3+ years in computer vision, deep learning, and Bachelors or Masters in Computer Science, Data Science, Electrical Engineering, or related 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 Knowledge of AR/VR, 3D vision, and AWS (SageMaker, Lambda, EC2, S3, RDS), CI/CD,
  • Terraform, Docker, and Kubernetes)
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