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Senior Machine Learning Engineer/Data Scientist in Impressit

Posted more than 30 days ago

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Impressit

Impressit

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Without experience
Kyiv
Impressit islooking for aMachine Learning Engineer/Data Scientist who will join anAI/ML team working onafully autonomousAI trading platform.What doweexpect?—Proficiency inPyTorch orTensorFlow for deep learning.—Strong programming skills inPython.—Competency inSQL for data manipulation and querying.—Familiarity with NoSQLdatabases.—Basic text mining capabilities for processing unstructured data.—Understanding ofObject-Oriented Programming (OOP), Functional Programming, and Procedural Programming.
Impressit islooking for aMachine Learning Engineer/Data Scientist who will join anAI/ML team working onafully autonomousAI trading platform.What doweexpect?—Proficiency inPyTorch orTensorFlow for deep learning.—Strong programming skills inPython.—Competency inSQL for data manipulation and querying.—Familiarity with NoSQLdatabases.—Basic text mining capabilities for processing unstructured data.—Understanding ofObject-Oriented Programming (OOP), Functional Programming, and Procedural Programming.—Upper-intermediate orhigher level ofEnglish.—Bachelor’s degree orhigher, with apreference for backgrounds inMathematics and Quantitative fields.What will youdo?—Focuses onmodel development with alternative unstructured data.—Aclassical understanding ofstructured data isstill needed.—The range ofwork scope may involve that extends but isnot limitedto: AIStock Screener using Bayesian Modelling etc., AIPortfolio Optimization using Reinforcement Learning, AIStock Trends Prediction using PyTorch Forecasting, etc.—Combine classical model evaluation with financial trading evaluation metrics such asSharpe, Turnover, Fitness, Returns, Drawdown, Margin, Long Count, Short Count, Sector/Subindustry Allocations etc.—Develop own proprietary packages that are not dependent onopen-source frameworks inthe long run for both high throughput intraining and inferencing.What about our benefits? —Generous vacation time: 24days per year;—Professional education and training budget;—Full tax compensation;—WOW team-building events;—Office inthe Lviv city center;—Paid sick leaves;Weare waiting for you tojoin our WOW team!
Without experience
Kyiv
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