Computer Vision Engineer

May 4, 2023

🏡 Remote – New York

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SewerAI

PIONEER® by SewerAI is condition assessment & asset management in the Cloud, powered by AutoCode™ AI computer vision.

11 - 50

Description

• Analyze and manage data • Research and Experiment with new AI architectures and systems • Produce reports and visualizations depicting system performance • Assist in Managing the ML Production Pipeline • Collaborate to develop requirements • Participate in agile development process

Requirements

• A Masters degree in a quantitative field or equivalent in work experience • Familiarity with machine and deep learning (e.g. supervised/unsupervised learning, training/validation/test sets, classification/regression, metrics, neural networks, loss functions, optimization, data augmentation, transfer learning) • Familiarity with modern computer vision techniques – convolutional neural networks, ResNets, object detection, vision transformers • Basic knowledge of linear algebra, calculus, and statistics (matrix manipulation, derivatives and integrals, statistical distributions, performance metrics) • Experience with PyTorch • Strong Python knowledge • Experience with Python data science stack – Pandas, Numpy, Scipy, Jupyter, data visualization • Experience putting deep learning models into production • Strong verbal and written skills, ability to communicate effectively with all levels throughout the organization and effectively present results • Results driven, with strong analytical and problem solving skills • Ability to read, discuss, and implement new research papers Willingness to learn: • SQL, Docker, REST APIs and a backend framework (e.g. Django, Flask) to access datasets. • Distributed training/inference management using cloud technologies like AWS, GCP, Azure. • Wastewater infrastructure inspection domain knowledge

Benefits

• Tools you need to get the job done • Competitive salary and potential equity-based remuneration • Unlimited PTO • Budget for courses, books, conferences – your development is important to us

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