You will be the first to touch our technology as part of beta testing
We are driven by the conviction that AI is the future. By endowing PN BRAIN with creative intelligence, we believe that humanity will receive technological answers to problems that are long overdue.
We are driven by the conviction that AI is the future. By endowing PN BRAIN with creative intelligence, we believe that humanity will receive technological answers to problems that are long overdue.
Born at the intersection of LLM technologies, deep multi-year immersion in the algorithmization of creative thinking in invention and automation technologies
Permanent additions of new data and skills provide a vast field for new inventions
We have ambitions to cover the widest possible range of tasks, however we go consistently
for future
process...
in work
- Alexey ShimukovichFounder, CEO
Serial entrepreneur, investor
- Polina
ChakurCo-Founder, COO6+ years of experience in IT like product manager, lead UI/UX designer,
, participated in projects with 1M+ users
- Petr
ShimukovichScientific adviser, author of the PN method
Scientist, author of the PN method, inventor, former head of production, technical and design activities
- Dmitry
SmolevCTO
Developer and designer of information systems, 10+ years of experience. Former lead developer at Profluent Trading
We are looking for an ML engineer with experience working with large language models (LLM), including for the Russian language. Experience in training and fine-tuning pre-trained models for specific tasks. Senior or strongly motivated middle+.
We are looking for a fan of his business with a keen interest in the topic and a desire to be involved in the creation of a global product. There will be difficult challenges and many experiments.
Tasks: building, maintaining and optimizing the LLM learning pipeline, deploying models and applications in a test and production environment, organizing CI / CD
Technologies: python, docker, kubernetes, airflow, mlflow
Tasks:
- Creation, testing and optimization of prompts for languagemodels.
- Research and development of new approaches in the field of Advanced Prompt Engineering
- Analysis and interpretation of results.
- Interaction with technical and product teams for collaboration and knowledge sharing.
Requirements:
- Technical education.
- Knowledge in the field of machine learning and understanding of the principles of neural networks.
- Experience with LLM models.
- Basic Python programming skills.
- Desire to learn and develop in the field of AI and ML