Город: Москва
Зарплата:
до 3000
USD
Занятость: Полная занятость, Удаленная работа
Опыт работы: Более 6 лет
What to do:
— Research, configure and implement large language models (LLM);
— 2D, 3D generation using open-source and proprietary solutions;
— Combine several ML/CV/LLM tools into a single pipeline to solve a specific problem;
— Research, develop and train deep learning models to perform visual tasks (e.g. detection, segmentation, generation, etc.);
— Create and implement a technical vision stack, participate in setting up the architecture of neural networks;
— Read, analyze and implement articles on ML;
— Participate in brainstorming and research meetings of the team;
Necessary skills:
— Ability to analyze and decompose a problem, advanced skills in searching and checking information;
— Ability to understand legacy/open-source code and understand what needs to be improved/added/removed so that the solution meets the task;
— Experience in preparing data and training models for various tasks (detection, segmentation, generation);
— Skills in testing and debugging algorithms and computer vision models;
— Broad knowledge and experience in using various frameworks and libraries for training and inference models;
— Culture of conducting experiments and testing hypotheses;
— Implementation of articles on computer vision;
— Strong experience in developing, creating prototypes and implementing advanced algorithmic solutions;
— Confident knowledge of Python;
— High learning ability and adaptation to new technologies;
— Ability to work in a team and communicate effectively with colleagues;
Will be a plus:
— Experience with image generation tools (ComfyUI, Automatic1111, Forge, Fooocus).
— Knowledge of cloud platforms such as AWS, Google Cloud or Azure for deploying and scaling models;
— Experience with version control systems (e.g. Git);
— Knowledge of the basics of DevOps and containerization (Docker);
— Experience in frontend/backend development.
— Experience in developing microservice architecture.
Why Work With us?
— Work on cool projects on a global scale;
— The opportunity to grow in a team of strong professionals;
— Absence of formalism and bureaucracy;
— Mandatory operational feedback on results.
Адрес: Челябинск, Каслинская улица, 77
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