Вакансия: Machine Learning Engineer
Описание вакансии
The talented ICVR team is looking for a Machine Learning Engineer to work on an ambitious and technically challenging new project!
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.
