AI/ML Computer vision engineer
2 weeks ago
Zwilling Labs is a startup in the AI and Industry 4.0 space, providing cutting-edge digital twin platform solution that integrates artificial intelligence with industrial systems. Our mission is to harness the power of AI and machine learning to drive innovation and efficiency in manufacturing.
Job Description:
We are seeking a talented and driven Computer Vision Engineer to join our team. The ideal candidate will be responsible for developing and implementing computer vision and image processing algorithms to solve challenging problems in areas such as object detection, tracking, recognition, and 3D reconstruction. You will collaborate with cross-functional teams to design, develop, and deploy innovative solutions .
Responsibilities:
- Design and implement computer vision algorithms for real-time and offline applications.- Research and evaluate state-of-the-art methods in computer vision and machine learning.- Develop and optimize models for object detection, segmentation, classification, and tracking.- Implement solutions for 3D vision tasks, including depth estimation, SLAM, and 3D reconstruction.- Collaborate with software engineers and data scientists to integrate computer vision models into production systems.- Document development processes, test results, and technical decisions.
Essential Skills:
1. Programming Languages: Proficiency in Python and/or C++.2. Deep Learning Frameworks: Experience with TensorFlow, PyTorch, or Keras.3. Computer Vision Libraries: Familiarity with OpenCV, Dlib, or similar libraries.4. Algorithm Development: Strong understanding of image processing, feature extraction, object detection, and classification techniques.5. 3D Vision: Knowledge of techniques like SLAM, structure from motion, and 3D reconstruction.6. Cloud and Edge Deployment: Experience deploying models on platforms like AWS, Azure, or edge devices.7. Version Control: Proficiency in Git for collaborative development.8. Strong Communication Skills: Ability to explain complex algorithms and findings to non-technical stakeholders.
Preferred Qualifications:
- Experience with real-time processing and optimization techniques.- Familiarity with robotics and sensor integration, such as LiDAR or depth cameras.- Understanding of Reinforcement Learning or other advanced AI techniques.- Prior experience with GPUs and parallel programming using CUDA or OpenCL.- Familiarity with frameworks like NVIDIA Jetson or Google Coral for edge computing.
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.- Collaborative and innovative work environment.
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