About the job Machine Leaning Engineer - Computer Vision
Main tasks and responsibilities
Develop computer vision and deep learning applications related to object detection, object segmentation and activity/action detection.
Scientific thinking and the ability to invent, implement, and lead technology developments in the field of computer vision and machine learning.
Dedicated to delivering Machine Learning projects.
Utilizing existing hardware and images in addition to new image data gathering techniques to produce innovative image analysis models and algorithms.
Lead the ideation, prototyping, and development of AI software.
Demonstrate expertise in solving computer vision problems.
Develop deep learning and traditional machine learning algorithms.
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.
Requirements
MS or PhD in Computer Science, Engineering, Mathematics or Statistics, with specialization in computer vision and deep learning.
Minimum 2 years of industrial experience in developing and deploying Computer Vision and Deep Learning applications in Production at scale.
Experience in software development, integration with deep learning algorithms and deployment in production.
Proficiency in scientific understanding and implementation of deep learning architectures in Computer vision (Image classification, object detection, segmentation, pose estimation) from ideation to productionized deployment.
Software development in Python, Deep learning (Tensorflow and Pytorch), Machine Learning libraries (OpenCV, Scikit-learn, NumPy, Pandas) and Data Analytics/Reporting.
