Project Description:

A startup developing a service that identifies correlations between media content (news, social media, Telegram, etc.) and cryptocurrency market price movements. The initial phase involves analyzing historical data, with a future transition to real-time scenarios. Data is collected in-house. We are seeking an individual to work with models.

Key Responsibilities:

• Select and train machine learning models (using Hugging Face and open-source stack).
• Set up a pipeline for hypothesis testing (workflow in n8n).
• Validate the existence of statistically significant correlations and determine how to leverage them.

Required Qualifications:

• Experience working with ML/NLP models and processing textual data.
• Ability to rapidly test hypotheses and build MVPs.Understanding of financial/crypto markets.
• Technical understanding of blockchain fundamentals.
• Proficiency in Python programming.