Impressit is looking for a Machine Learning Engineer/Data Scientist who will join an AI/ML team working on a fully autonomous AI trading platform.

Вимоги:
— Proficiency in PyTorch or TensorFlow for deep learning.
— Strong programming skills in Python.
— Competency in SQL for data manipulation and querying.
— Familiarity with NoSQL databases.
— Basic text mining capabilities for processing unstructured data.
— Understanding of Object-Oriented Programming (OOP), Functional Programming, and Procedural Programming.
— Upper-intermediate or higher level of English.
— Bachelor's degree or higher, with a preference for backgrounds in Mathematics and Quantitative fields.

Обов'язки:
— Focuses on model development with alternative unstructured data.
— A classical understanding of structured data is still needed.
— The range of work scope may involve that extends but is not limited to: AI Stock Screener using Bayesian Modelling etc., AI Portfolio Optimization using Reinforcement Learning, AI Stock Trends Prediction using PyTorch Forecasting, etc.
— Combine classical model evaluation with financial trading evaluation metrics such as Sharpe, Turnover, Fitness, Returns, Drawdown, Margin, Long Count, Short Count, Sector/Subindustry Allocations etc.
— Develop own proprietary packages that are not dependent on open-source frameworks in the long run for both high throughput in training and inferencing.

Буде плюсом:
— Ability to develop machine learning models from scratch without relying solely on pre-existing packages.