You will lead prototyping and development of computer vision and machine learning software, including deep learning models for image classification, object detection and segmentation for inspection and quality control. You will also build data pipelines and deploy vision hardware for image data gathering.
Duties and responsibilities:
• Lead the ideation, prototyping, and development of AI software.
• Demonstrate expertise in solving computer vision problems.
• Develop deep learning and traditional machine learning algorithms for the business.
• Design and develop scalable software architectures.
• Demonstrate ongoing understanding of Machine Learning technologies in current marketplace and how they can be applied to the business.
• Facilitate design and deployment of vision hardware equipment needed for image data gathering.
• Create and maintain data pipeline architecture for ML algorithm development.
• Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithm
• Development of ML approaches that improve the speed and accuracy of image algorithm development for inspection and quality control methods.
Qualifications and experience:
• MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in computer vision and deep learning.
• Proficiency in Deep Learning frameworks (Tensorflow, Keras or Pytorch).
• Proficiency in Python and C++.
• Proficiency in implementing deep learning architectures for Image classification, Object detection and Object segmentation.
• Demonstrated experience in scientific research related to Computer vision and Deep learning.
• Scientific thinking and the ability to invent, implement, and lead technology developments in the field of computer vision and machine learning.
• Proficiency in CV/ML libraries (OpenCV, Scikit-learn, Numpy, Pandas).
• Software development experience in multi-threaded applications.
• Excellent written and spoken communication skills.
• Successful delivery of machine learning applications to internal or external customers.
• Minimum 2 years of industrial experience in developing and deploying Computer Vision and Deep Learning applications in Production at scale.
• Experience in software development (Python or C++), integration with deep learning algorithms and deployment in production.
• Experience in multi-facility, international organizations desired.
• Experience in a diverse multi-cultural corporate environment desired.
Required skills:
• Strong Python and C++ programming capabilities.
• Scientific understanding of popular/state-of-the-art deep learning architectures and computer vision algorithms for object detection and object segmentation.
• Ability to read scientific publications, understand and implement proposed solution
• Self-driven and strong problem-solving skills.
• Team work.
• Strong analytical skills and process focus.
Advantageous:
• Publications in top CV conferences and Journals (CVPR, ICCV, ECCV, NIPS, ICML, PAMI, etc.).
• Experience with NVIDIA Jetson, ONNX, OpenVINO and TensorRT.
• Proficiency in Activity recognition and Object tracking.
• 3D image algorithms experience.
• Ability to work in a Matrix Organization.
