Position: Computer Vision Engineer
Company: LITSLINK
Experience required: 2y
Category: Data Science
English level: intermediate
Published: 2022-05-01T00:00:00+03:00

Необхідні навички
— 4+ years of programming experience with the following languages/frameworks: Python; Pytorch /Tensorflow /Keras/ OpenCV;
— 3+ years in position Computer Vision Engineer;
— Advanced understanding and working experience of various fundamentals and concepts of computer vision
and machine learning;
— Familiarity with architectures for classification tasks: CNN, Faster R-CNN, ResNet; detections: YOLO, HOG;
segmentation: U-Net, DeepLab, PSPNet;
— Applying state-of-the-art AI methods to solve business problems;
— Working knowledge of cloud computing services (preferably AWS). Ability to start, stop and interact with standalone EC2 instances and/or EMR clusters, transfer data to/from them, interact with S3 or other data warehousing services in AWS, monitor resources;
— A successful candidate must have aptitude to quickly learn, apply new technologies, and must be able to
work in a self-driven manner within a fast-paced, entrepreneurial environment.

Пропонуємо
We offer:
— Exciting projects, which involve the newest technologies;
— Ability to switch to another project or technical stack within the company;
— Strong technical support of the company’s architectural board and implementation team (UX/UI designers/developers/BA/QA);
— No bureaucracy and micromanagement;
— Educational opportunities;
— Possibility to work remotely from any place;
— Working equipment: MacBook, chair, etc.
— Competitive salary, also we pay taxes;
— Flexible working schedule. We respect your personal time.
— Paid vacations, sick leaves.
— English lessons

Обов’язки
— Responsible for the full cycle of CV models development;
— Building the architecture of the technical model;
— Fully cover (develop, maintain and monitor) the entire lifecycle of created models;
— Create production-ready solutions, launch MVPs, help DevOps Team to deploy them.