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Reply | Germany | 40xxx, 80xxx, 81xxx, 20xxx, 22xxx, 21xxx, 10xxx, 50xxx, 14xxx, 13xxx, 12xxx, 51xxx Berlin, Hamburg, Köln, München, Düsseldorf | Permanent position | Full time / Home office | Published since: 21.05.2025 on stepstone.de

(Junior) Data & Artificial Intelligence Consultant (m/w/d)

Branch: Computer science, informati... Branch: Computer science, information and communication technology


Cluster Reply is the company of the Reply Group, which specializes in consulting and system integration of Microsoft technologies. As a partner of Microsoft, Cluster Reply is active in Germany, Austria and Switzerland and collaborates with sister companies in Brazil, the UK, Italy and the USA within the Reply network. The company focuses on innovations and supports customers in digital transformation. The solutions range from on-premises to cloud applications in the areas of modern workplace and security, business applications, applications and infrastructure, as well as data and artificial intelligence. JOBV1_EN

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Your tasks • Your profile • What we offer

Cluster Reply is the company of the Reply Group, which specializes in consulting and system integration of Microsoft technologies. As a partner of Microsoft, Cluster Reply is active in Germany, Austria and Switzerland and collaborates with sister companies in Brazil, the UK, Italy and the USA within the Reply network. The company focuses on innovations and supports customers in digital transformation. The solutions range from on-premises to cloud applications in the areas of modern workplace and security, business applications, applications and infrastructure, as well as data and artificial intelligence.

As an expert for machine learning and deep learning, you will take the design and implementation of customer projects into consideration modern AI methods either on-premise or in the Microsoft Azure Cloud You work with the latest Microsoft technologies and develop data-driven solutions that connect Data Engineering, AI and modern analytics (Data & AI solutions on Microsoft Fabric) Implementation of requirements engineering workshops to meet customer requirements and develop data-driven solutions Development and Optimization of ETL/ELT Processes with Dataflows & Pipelines in Fabric Use of Azure AI Services & Machine Learning for Automation of Data Driven Processes In the end, you are responsible for the complete technical implementation of the customer solution Conception and Implementation of Data Science Workflows on Microsoft Fabric and Azure

You have a successfully completed study in fields with IT reference: (economics)- Computer Science, Data Science or a comparable area, speaks fluent German and English, are well organized and think entrepreneurship First experience in the development and application of machine learning algorithms and data platforms (e.g. Microsoft Fabric, Azure Synapse, Data Factory) Good programming knowledge in SQL, Python or Spark for data processing and analytics and library knowledge such as NumPy, SciPy, pandas, TensorFlow, PyTorch or Scikit-Learn Experience with AI-based data analysis and machine learning in the Azure Cloud (Azure Machine Learning or Cognitive Services) Experience in cooperation with customers and a strong sense of their requirements You are characterized by an independent and self-responsible way of working and can quickly find yourself in a dynamic environment An occasional readiness to travel rounds off your profile

Flexible working hours Expert Network Certified certification Hybrid work: an individual mix of remote working, time in the office or on site Innovation & Diversity: Germany-wide, cross-industry projects with large and medium-sized customers Cluster Reply Spirit: Strong team feeling, flat hierarchies and a personal, family and value-assured union Always up to date: A lot of external and internal individual training options and certifications JOBV1_EN

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ava Reply
Berlin, Hamburg, Köln, München, Düsseldorf
Germany

The text of this ad was translated from German into English using an automatic translation system and may contain semantic and lexical errors. Therefore, it should be used for introductory purposes only. For more detailed information, see the original text of the ad at the link below.

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