Bereitstellung von LLMs (z.B. vllm oder candle) sowie das Training von DeepLearning Modellen auf GPUs und den dafür relevanten Libraries und Frameworks sind für dich keine Fremdworte - Sie entwickeln Werkzeuge und Methoden, um KI-Techniken, insbesondere unter den Aspekten Big Data, Data Mining, Machine Learning und generativer KI weiter zu etablieren und damit die tägliche Arbeit der hessischen Steuerverwaltung zu unterstützen. * Du entwickelst und trainierst auf die realen Gegebenheiten der Finanzverwaltung zugeschnittene Machine Learning Modelle
Bereitstellung von LLMs (z.B. vllm oder candle) sowie das Training von DeepLearning Modellen auf GPUs und den dafür relevanten Libraries und Frameworks sind für dich keine Fremdworte - Sie entwickeln Werkzeuge und Methoden, um KI-Techniken, insbesondere unter den Aspekten Big Data, Data Mining, Machine Learning und generativer KI weiter zu etablieren und damit die tägliche Arbeit der hessischen Steuerverwaltung zu unterstützen. * Du entwickelst und trainierst auf die realen Gegebenheiten der Finanzverwaltung zugeschnittene Machine Learning Modelle
Monitor and improve model performance in real‑world environments, applying best practices in experimentation, versioning, reproducibility, and selecting appropriate ML techniques (classical ML, deeplearning, time‑series) based on the use case. We are looking for a Machine Learning Engineer to join our team and design, build, and continuously improve machine learning models for AI‑driven manufacturing solutions within an Industry 4.0 environment. * Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning. * Ensure Machine learning solutions are developed and deployed in line with information security, data protection, access control, and traceability requirements.
Monitor and improve model performance in real‑world environments, applying best practices in experimentation, versioning, reproducibility, and selecting appropriate ML techniques (classical ML, deeplearning, time‑series) based on the use case. We are looking for a Machine Learning Engineer to join our team and design, build, and continuously improve machine learning models for AI‑driven manufacturing solutions within an Industry 4.0 environment. * Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning. * Ensure Machine learning solutions are developed and deployed in line with information security, data protection, access control, and traceability requirements.
Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, DeepLearning), sowie von mathematischer Modellierung (Statistik, Zeitreihenanalyse, Netzwerkanalyse, usw.) und hast praktische Erfahrung mit relevanten Bibliotheken (z.B. scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost) * Du entwirfst und implementierst Machine-Learning-Modelle zur Lösung komplexer Probleme, wobei du geeignete Algorithmen auswählst und anpasst
Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, DeepLearning), sowie von mathematischer Modellierung (Statistik, Zeitreihenanalyse, Netzwerkanalyse, usw.) und hast praktische Erfahrung mit relevanten Bibliotheken (z.B. scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost) * Du entwirfst und implementierst Machine-Learning-Modelle zur Lösung komplexer Probleme, wobei du geeignete Algorithmen auswählst und anpasst
Knowledge of machine learning,deeplearning and especially in the field of generative AI, as well as experience in software development and data analysis as well as - As experts in digitalization, we combine AI-driven processes and cutting-edge technologies with the deep expertise of our automative specialists.
Knowledge of machine learning,deeplearning and especially in the field of generative AI, as well as experience in software development and data analysis as well as - As experts in digitalization, we combine AI-driven processes and cutting-edge technologies with the deep expertise of our automative specialists.
Erfahrung in der Anwendung von DeepLearning und neuronalen Netzen. * Entwicklung und Implementierung von Machine-Learning-Modellen und -Algorithmen. * Erfahrung im Bereich Machine Learning.
Erfahrung in der Anwendung von DeepLearning und neuronalen Netzen. * Entwicklung und Implementierung von Machine-Learning-Modellen und -Algorithmen. * Erfahrung im Bereich Machine Learning.
Entwicklung im Bereich Echtzeit-ComputerVision, Stereo-Vision, Online-Kalibrierverfahren, GPU / FPGA basierte Signalverarbeitung, Deep-Learning basierte Signalverarbeitung zur Klassifikation von Objekten auf der Straße und von Landmarken, selbstlernende digitale Karten, usw.
Entwicklung im Bereich Echtzeit-ComputerVision, Stereo-Vision, Online-Kalibrierverfahren, GPU / FPGA basierte Signalverarbeitung, Deep-Learning basierte Signalverarbeitung zur Klassifikation von Objekten auf der Straße und von Landmarken, selbstlernende digitale Karten, usw.
Für die Optimierung der Datenflüsse, Vorverarbeitungen und Ergebnisauswertungen setzen Sie Methoden der künstlichen Intelligenz wie z. B. Deep-Learning/Machine-Learning, Anomalieerkennung oder Reinforcement-Learning ein.
Für die Optimierung der Datenflüsse, Vorverarbeitungen und Ergebnisauswertungen setzen Sie Methoden der künstlichen Intelligenz wie z. B. Deep-Learning/Machine-Learning, Anomalieerkennung oder Reinforcement-Learning ein.
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Essen, Hannover, München, Berlin, Würzburg, Hamburg, Frankfurt am Main
Teilweise Home-Office
Anschreiben nicht erforderlich
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