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Senior Backend Engineer: Java and Machine Learning. As part of the team that refines how the company ‘ranks’ properties for new and returning users, you’ll be responsible for productionising Machine Learning models built by Data Scientists, and building highly reliable user-facing APIs.
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Du identifizierst neue Data-Warehouse-Anforderungen, klärst Use Cases und unterstützt das Team durch Deine Forschung in Machine Learning. Du bringst zusätzlich Erfahrungen in Tools wie Databricks, Azure Synapse, SQL-Server, PostgreSQL, MySQL, NoSQL Datenbanken wie CosmosDB oder MongoDB, Azure Data Factory, Airflow, sowie BI-Tools wie Tableau, Qlik, Looker oder DAX in PowerBI mit.
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Background and degree in at least one of the following fields or related topics: artificial intelligence, computer vision, deep learning, image/signal processing, machine learning, large language models.
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You should have experience working with Typescript (or Javascript), as well as a strong understanding of fullstack development; ideally you have a good eye for design/UI/UX and are also interested in working with AI and machine learning technologies, as well as data analysis and visualization in general.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Understanding of machine learning algorithms, deep learning architectures, and natural language processing techniques. Experiment with AI techniques, such as machine learning, deep learning, reinforcement learning, and large foundational models, to develop the most effective models.
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Als Machine Learning Engineer (w/m/d) mit Fokus auf Deep Learning hast du in unserer zentralen Data Analytics Abteilung die Möglichkeit, unsere Deep Learning Teams mit deiner Expertise zu bereichern und spannende Use Cases von der Entwicklung bis zum produktiven Einsatz zu begleiten.
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Learning : We offer you a steep learning curve with deep insights into the digital fintech scene. And we offer a great learning experience, and opportunities to get published.
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I am on the lookout for young talented individuals to join my client in developing cutting-edge hardware solutions for embedded systems, wireless communications, and the Internet of Things (IoT.
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The Java development team themselves make the decisions about what direction this could take – whether it be learning Scala, Rust, Kotlin, a new framework, Big Data. Keywords: Java, Microservices, Cloud, Azure, Kubernetes, agile, Frankfurt, Cassandra, Hadoop, Spark, Storm, Kafka, Scala, Rust, Elasticsearch, NoSQL, data, Big Data, Kotlin, Spring, IoT.
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As a Graduate Program / AI Research Engineer, you will be involved in conducting research and development activities related to artificial intelligence, machine learning, and deep learning.
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Commercial experience in Machine Learning (Computer Vision, Deep Learning, GenAI, Predictive modelling, NLP) or Data Engineering. Experience in designing and implementing Machine Learning solutions using AI/ML Libraries (pandas/scikit/Keras/PyTorch/TensorFlow and Spark.
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Python AWS role for Geo data technology (Data and Machine Learning) - Hybrid in Berlin. We are seeking a talented Python Developer with robust backend skills and experience in AWS cloud services to contribute to the development and maintenance of cutting-edge algorithms and data processing pipelines.
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If you are a talented and motivated machine learning engineer with a passion for IoT, we encourage you to apply! 5+ years of experience in machine learning engineering/data science, with a focus on IoT and sensor data.
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This is a fantastic opportunity for a Machine Learning Engineer who's looking to make an impact on the business and work on exciting and interesting projects. An exciting stealth mode start-up is looking for a Machine Learning Engineer to join their growing team.
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Proven experience as a Lead Machine Learning Engineer, particularly in recommendation systems and scalable ML solutions. Embark on an exciting journey with Fit Analytics Innovation as a Technical Machine Learning Lead, where you'll play a pivotal role in driving the success of our cutting-edge sizing and fit recommendation solutions.
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