ML Engineer

Tasks

• Conduct applied research in the field of machine learning.
• Engage in fine-tuning of LLM for certain tasks.
• Influence the overall architecture of the system.
• Assist in MLOps automation.
• We value proactivity and independence, the ability to explore new approaches and generate non-standard ideas, combined with high responsibility for the result.

Our expectations

• ML Engineer’s work experience of 2-3 years.
• Excellent knowledge of Python.
• Experience working with LLM.
• Knowledge of classical and modern approaches to natural language processing (NLP).
• Deep neural networks learning experience. Knowledge of PyTorch. Experience in preprocessing training data.
• The ability to independently study scientific articles in English and conduct experiments based on them.
• Strong interest in LLMs research.

Will be a plus

• Knowledge of llama index and langchain frameworks will be a big plus.
• Experience working with Git, Bash, Docker on Linux OS.
• MLOps experience.

Additionally

• Willingness to discuss relocation to Georgia;
• The ability to work from anywhere in the world.