(Fluent Ukrainian) ML Engineer at Outstaff Your Team
... , scikit-learn, GenSim тощо; Досвід роботи з моделями Seq2Seq; Глибоке розуміння теоретичних концепцій Language modeling, Named Entity Recognition, text classification, ...
... , scikit-learn, GenSim тощо; Досвід роботи з моделями Seq2Seq; Глибоке розуміння теоретичних концепцій Language modeling, Named Entity Recognition, text classification, ...
... years of experience in data modeling Experience working with industry standards, ... , ERStudio or any other data modeling tools Cloud Experience with AZURE ...
... , You have experience in data modeling and architectural design, Moreover, you ... platform, building data pipelines, and modeling large data sets in distributed ...
... spanning problem formation, ingestion, data modeling, metric definition, dashboard development, analysis, ... knowledge of SQL, Python, data modeling, and data visualization Hands-on ...
... (CI CD pipelines, Snowflake database), Modeling data transformations using dbt (including ... . GitLab and DataOps), Experience in modeling data transformations using dbt, including ...
... strategic decisions, Develop meaningful predictive modeling & build reports based on them ... etc.), Good knowledge of statistical modeling machine learning techniques & tools, Experience ...
... database concepts, including graph data modeling, traversal algorithms, and query language ... , Data models, Performance tuning, Data modeling Additionally: Sport subscription, Training budget, ...
... data acquisition, validation, and statistical modeling. Interpreting the results and conclusion ... improvement in design or and modeling process. Being the reference to ...
... messaging systems Understanding of Data Modeling - designing and defining data structures ... responsible for collecting business requirements, modeling data, building data pipelines, creating ...
... data. Build and experiment with modeling and scoring algorithms. This includes ... mathematical analysis. • Relevant coursework in modeling techniques such as logistic regression, ...