Vashi, Navi Mumbai
We are looking for Computer Vision Engineers that will help us improve our algorithms, drive problem formulation, data strategy and manage model lifecycle to make our products smarter and more scalable. Your primary focus will be in developing computer vision algorithms for faster processing and accurate detection of the required features. Our primary focus lies in using state-of-the-art computer vision and deep learning techniques to help farmers, traders, food processors and buyers standardize and automate large parts of their workstreams. You would be required to build high-precision and continually improving models to be deployed as a cloud service as well as on edge (embedded devices and mobile native). Apart from building the core prediction models, you would be tasked with developing internal A/B testing procedures and driving the monitoring framework for deployed models.
Building end-to-end computer vision development and production pipelines and making design improvements
Selecting features, building and optimizing classifiers using machine learning techniques
Implementing baseline OpenCV algorithms for a problem statement and following it up with a baseline ML/DL benchmark and concoct a new solution that is on par with or better than state-of-the-art
Performing a feasibility study on different approaches for solving a problem statement
Creating automated anomaly detection systems for constant tracking of model performance
Reading research papers and implementing them
Convolutional Neural Networks
Minimum 3 years of experience in computer vision
Excellent understanding of computer vision techniques and algorithms, such as multi-instance multi-label classification, semantic segmentation, traditional CV algorithms, etc.
Adept at model deployments on the cloud, while the experience of building edge AI systems would be a plus
Experience with common data science toolkits, such as NumPy, Tensorflow, Pytorch, OpenCV, etc. Excellence in at least one of these is highly desirable
Great communication skills