Práca | Trenčiansky kraj | Learning lead data

one field of machine learning, such as Regression, Classification, Clustering, Generative AI, etc. o Experience in data engineering, including ETL processes, data pipelines, and data analysis o Familiarity

areas: ​-Working with data (data analysis, working with large datasets, data quality management, e.g. formulating rules...

out usLearn & GrowWe offer Open positions Technical Deutsche Telekom IT Solutions Slovakia Lead Application Developer (REF502S) Back-End...

, and optimization of data infrastructure and workflows onto GCP. Or you can bear responsibility for developing pipelines in OneDataLake,...

small differences between plans can lead to significant out-of-pocket costs or lack of access to critical medicines and even providers. We...

one field of machine learning, such as Regression, Classification, Clustering, Generative AI, etc. o Experience in data engineering,...

small differences between plans can lead to significant out-of-pocket costs or lack of access to critical medicines and even providers. We...

effective management of our Data Tribe data assets. This role requires a deep understanding of data modeling, database...

in AI and machine learning; Strong understanding of machine learning algorithms, deep learning frameworks (such as TensorFlow,...

offer Open positions Technical Deutsche Telekom IT Solutions Slovakia Senior Scrum Master for Data domain Place of work Remote...

be a Data Quality Engineer, part of an agile team focused on exciting transformation challenges around data Develop data...

out usLearn & GrowWe offer Open positions Technical Deutsche Telekom IT Solutions Slovakia Lead Architect/ Consultant for Microsoft...

problem management) Organize and lead application expert group or similar service meetings Plan and steer deployment installations Update...

analytical thinking and sound skills in collection of qualitative and quantitative data, diagnostics, analysis as well as data visualization...

AI experts, machine learning engineers, data engineers, backend developers, ML Ops professionals, architects, and AI Governance...