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4 machine learning jobs found

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Vattenfall
27/08/2026
Full time
DevOps Cloud Engineer (Azure & Databricks)
Vattenfall Markstraße 36, 13409 Berlin-Reinickendorf, Germany
Vattenfall is a European energy company with approximately 21 000 employees. For more than 100 years we have electrified industries, supplied energy to people’s homes and modernized our way of living through innovation and cooperation. We are looking for talented individuals who, in addition to their passion for their own role, also have strong team spirit and want to contribute to supporting a meaningful corporate mission. Business Area IT We design and build the digital backbone that moves Vattenfall forward — from modern infrastructure to large-scale digital transformation initiatives. We connect people, processes and technology while enabling automation, innovation and an intuitive user experience. By doing so, we create a smart and connected organisation that is ready for tomorrow's energy transition. Job Description Do you enjoy creating secure, scalable cloud environments that enable innovation at enterprise scale? As a   DevOps Cloud Engineer (Azure &...
REPLY
26/08/2026
Full time
SENIOR CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS (M/F/D)
REPLY 10785 Berlin, Germany
BERLIN, MUNICH Tasks As a Senior Consultant Data Engineer (m/f/d), you will support our team in developing modern   data solutions   ,   data products   ,   AI-ready data platforms   and data-based AI solutions, as well as optimizing our customers' data usage. In this role, you will design scalable and efficient data architectures, integrate modern   data engineering and AI technologies   into existing system landscapes, and take responsibility for complex data projects to sustainably strengthen data-driven decisions. Support in the   design   and   implementation   of robust and scalable   data products, data architectures, data platforms   and   AI-ready pipelines Development and maintenance of   pipelines   for   data transformation   , data integration, and data provisioning for analytics, machine learning, GenAI, and reporting use cases from various sources using technologies such as   SQL, Python, dbt, Snowflake, Databricks,...
Amadeus FiRe
24/08/2026
Full time
Senior Data Scientist - Advertising division
Amadeus FiRe Berlin, Germany
Job Title Senior Data Scientist - Advertising division As part of Amadeus Hospitality, the main objective of the   Advertising division   is to   drive demand   and   boost client market shares   by advertising their products in all the possible mediums and channels (web searches, web, social, GDS, mobile). Our customers are hotels who aim to attract more guests, cities or regions who want to attract more visitors as well as airlines who strive to attract more travelers. Over the years, Amadeus has built a leading data-driven travel advertising platform complemented by strategic partnerships with advertising giants (Google, Facebook, Microsoft, … to name a few), that can reach   billions of travelers   globally every day. As our business continues to grow rapidly, we are looking for curious, driven, and innovative individuals who want to solve complex problems and help shape the future of travel advertising. Every day, our machine...
Amprion GmbH
24/08/2026
Full time
Data Scientist
Amprion GmbH Unterste-Wilms-Straße 56, 44143 Dortmund, Brackel, Germany
Dortmund from now on Job ID: 8188 | Contract type: permanent Data Scientist YOUR TASKS: Development, training and evaluation of machine learning models, e.g. for regression, classification, time series forecasting and anomaly detection, as well as models for image and video analysis. Analysis, processing and quality assurance of large, heterogeneous datasets (e.g. sensor, image, and operational data) Feature engineering, selection of suitable modeling approaches and hyperparameters taking into account functional requirements, technical framework conditions and operational restrictions. Implementation of ML models in robust, production-like code structures Close collaboration with the specialist departments to translate technical questions into data-driven use cases and model approaches. Documentation of models, data assumptions, results and limitations to ensure traceability, governance requirements and maintainability. Support in...
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