Required skills:
- Strong theoretical background in machine learning and neural networks.
- Knowledge of Python and machine learning libraries (PyTorch, TensorFlow, scikit-learn).
- Experience with large language models (GPT, BERT, or similar).
- Ability to understand existing processes and identify areas where ML can be applied to optimize them.
- Basic skills in process automation tools (e.g., n8n, Zapier).
- Proactive attitude, with a willingness to take responsibility for experiments and research.
As a plus:
- Experience with RAG frameworks (Haystack, LangChain, etc.).
- Skills in working with APIs to integrate solutions into existing systems.
- Understanding of DevOps principles (containerization, CI/CD).
- Experience in designing ETL processes.
- Experience with cloud platforms (AWS, GCP, Azure).
Responsibilities:
- Research and implement Retrieval-Augmented Generation (RAG) agents to automate document analysis and management.
- Set up, train, and, if necessary, fine-tune large language models (LLMs) to address team tasks.
- Develop tools to simplify working with source code, such as auto-generating documentation, error detection, and assisting with refactoring.
- Participate in the design and optimization of new team processes based on ML solutions.
- Use workflow automation tools to integrate ML solutions into existing processes.
- Experiment with approaches and architectures, proposing ideas for improvements and their future implementation.
- Provide recommendations and create prototypes that will serve as the foundation for future workflows.
Сompanу offer
- The opportunity to play a key role in developing new team processes.
- Freedom for experiments and research that influence decision-making.
- Mentorship from experienced specialists, as well as collaboration in a creative and supportive team.
- Participation in projects where you can implement cutting-edge technologies and see their real impact.
- Access to modern tools and resources for learning and professional growth.
- Flexible schedule and the possibility to work remotely.
How to Apply: Interested candidates are encouraged to submit a resume or LinkedIn link to [email protected]
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