Architect, develop and deploy ML systems to production for pricing and liquidity.
Design and execute experiments.
Analyze diverse data to improve or create models.
Participate in Data Science chapter discussions and decisions.

🎯 Requirements

Deliver real impact through DS/ML.
ML concepts: regression, classification, clustering, neural networks, feature selection, cross-validation.
Practical experience with tabular data.
Experience deploying ML systems to production.
Proficiency in Python.
Excellent written and verbal communication.
Strong English (verbal and written) required.

🎁 Benefits

Competitive salary
Profit sharing
Meal allowance
Health insurance
Dental plan
Life insurance

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