High-Precision Computer Vision Engineer
4 hours ago
Zwilling Labs Pvt Ltd is a pioneering startup in the field of Artificial Intelligence and Industry 4.0, specializing in cutting-edge digital twin platform solutions that seamlessly integrate artificial intelligence with industrial systems.
Job OverviewWe are seeking an exceptionally talented and driven Computer Vision Engineer to join our team. The ideal candidate will be responsible for designing and implementing innovative computer vision algorithms to tackle complex problems in areas such as object detection, tracking, recognition, and 3D reconstruction.
Key Responsibilities:- Design and Implement Computer Vision Algorithms: Develop and deploy high-performance computer vision algorithms for real-time and offline applications.
- Research and Evaluation: Conduct thorough research on state-of-the-art methods in computer vision and machine learning to stay ahead of industry trends.
- Model Development and Optimization: Create and optimize models for object detection, segmentation, classification, and tracking tasks.
- 3D Vision Tasks: Implement solutions for depth estimation, SLAM, and 3D reconstruction, pushing the boundaries of what's possible in the field.
- Collaboration and Integration: Work closely with software engineers and data scientists to integrate computer vision models into production systems, ensuring seamless deployment and scalability.
- Programming Languages: Proficiency in Python and/or C++ programming languages.
- Deep Learning Frameworks: Experience working with TensorFlow, PyTorch, or Keras deep learning frameworks.
- Computer Vision Libraries: Familiarity with OpenCV, Dlib, or similar computer vision libraries.
- Algorithm Development: Strong understanding of image processing, feature extraction, object detection, and classification techniques.
- 3D Vision: Knowledge of SLAM, structure from motion, and 3D reconstruction techniques.
- Cloud and Edge Deployment: Experience deploying models on platforms like AWS, Azure, or edge devices.
- Version Control: Proficiency in Git for collaborative development.
- Strong Communication Skills: Ability to explain complex algorithms and findings to non-technical stakeholders.
- Real-Time Processing: Experience with real-time processing and optimization techniques.
- Robotics and Sensor Integration: Familiarity with robotics and sensor integration, such as LiDAR or depth cameras.
- Advanced AI Techniques: Understanding of Reinforcement Learning or other advanced AI techniques.
- GPU and Parallel Programming: Prior experience with GPUs and parallel programming using CUDA or OpenCL.
- Edge Computing: Familiarity with frameworks like NVIDIA Jetson or Google Coral for edge computing.
Required Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Benefits: Opportunities for professional growth and learning, flexible working hours, and a collaborative and innovative work environment.
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