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- Freising
- Ismaning
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- Fürstenfeldbruck
- Ottobrunn
- Gräfelfing
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- Gauting
- Hallbergmoos
- Haar
- Oberhaching
- Wörth
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610 Treffer für Deep Learning Jobs in Anzing im Umkreis von 30 km
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Lead applied research and PoC development for computer‑vision and deep‑learning solutions. * Strong background in computer vision and deep learning. …...a senior machine learning engineer who brings passion, strong skills and experiences to shape innovative and successful product portfolios of tomorrow. * Experience: 5+ years in applied machine learning / computer vision.
Lead applied research and PoC development for computer‑vision and deep‑learning solutions. * Strong background in computer vision and deep learning. …...a senior machine learning engineer who brings passion, strong skills and experiences to shape innovative and successful product portfolios of tomorrow. * Experience: 5+ years in applied machine learning / computer vision.
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Senior Data Scientist (m/w/d)
Senior Data Scientist (m/w/d)
Senacor Technologies AG
Berlin, Bonn, Frankfurt, Hamburg, München, Nürnberg
Teilweise Home-Office
Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, Deep Learning), 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, Deep Learning), 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
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Werkstudent (m/w/d) – Machine Learning Automated Driving
Werkstudent (m/w/d) – Machine Learning Automated Driving
ARRK Engineering GmbH
München
Teilweise Home-Office
Schnelle Bewerbung
Kenntnisse in den Bereichen Machine Learning, Deep Learning und Künstliche Intelligenz - Sie werden Teil eines dynamischen Teams von Experten, das eng zusammenarbeitet, um fortschrittliche Machine-Learning-Modelle zu entwickeln und zu implementieren. * Unterstützung bei der Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von autonomen Fahrsystemen * Zusammenarbeit mit Softwareentwicklern und Systemingenieuren zur Integration von Machine-Learning-Lösungen in unsere autonomen Fahrsysteme
Kenntnisse in den Bereichen Machine Learning, Deep Learning und Künstliche Intelligenz - Sie werden Teil eines dynamischen Teams von Experten, das eng zusammenarbeitet, um fortschrittliche Machine-Learning-Modelle zu entwickeln und zu implementieren. * Unterstützung bei der Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von autonomen Fahrsystemen * Zusammenarbeit mit Softwareentwicklern und Systemingenieuren zur Integration von Machine-Learning-Lösungen in unsere autonomen Fahrsysteme
Deep master of deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. Through debugging, benchmarking, and deep technical iteration, you'll uncover patterns, limitations, and opportunities, and turn them into actionable insights that directly inform research and architecture improvements. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Deep master of deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. Through debugging, benchmarking, and deep technical iteration, you'll uncover patterns, limitations, and opportunities, and turn them into actionable insights that directly inform research and architecture improvements. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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Schnelle Bewerbung
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) * Corporate Benefits Program that covers health, mobility, and learning with 100€ net per month.
Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) * Corporate Benefits Program that covers health, mobility, and learning with 100€ net per month.
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Senior AI Solution Architect / AI Strategy Consultant (m/w/d)
Senior AI Solution Architect / AI Strategy Consultant (m/w/d)
PTA GmbH
Berlin, Dresden, Düsseldorf, Frankfurt, Hamburg, Karlsruhe, Kassel, Köln, Mannheim, München, u.a.
Teilweise Home-Office
Mind. 5 Jahre Erfahrung in der Entwicklung von KI-Modellen, z. B. mit LLMs (Large Language Models), Deep Learning, Agentic AI, RAG-Architekturen
Mind. 5 Jahre Erfahrung in der Entwicklung von KI-Modellen, z. B. mit LLMs (Large Language Models), Deep Learning, Agentic AI, RAG-Architekturen
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Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. To achieve cost‑ and energy‑efficient solutions, we combine deep expertise in AI and chip design, developing tailor‑made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations. To achieve cost‑ and energy‑efficient solutions, we combine deep expertise in AI and chip design, developing tailor‑made AI models for connected vehicles worldwide - delivering maximum performance while making optimal use of available hardware. * You own the full lifecycle of machine learning models – from initial concept and experimentation through training and validation to reliable deployment on production-grade automotive systems. * Additionally, you collaborate closely with software, machine learning, and semiconductor specialists to advance hardware/software co-design, ensuring functional correctness, safety, and deterministic real-time behaviour.
NEU
Enthusiasm for new technologies such as AI, Big Data, or deep learning.
Enthusiasm for new technologies such as AI, Big Data, or deep learning.
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Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (f/m/d)
Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (f/m/d)
SAP SE
Garching bei München, DE, 85748
Proficiency with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Proficiency with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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You will have the possibility to improve your knowledge in many areas, such as the application of deep learning models and image processing algorithms or in advanced software engineering topics * Deep curiosity and willingness to dive into new subject areas * First experience with machine learning
You will have the possibility to improve your knowledge in many areas, such as the application of deep learning models and image processing algorithms or in advanced software engineering topics * Deep curiosity and willingness to dive into new subject areas * First experience with machine learning
You will have the possibility to improve your knowledge in many areas, such as the application of deep learning models and image processing algorithms, advanced software engineering topics and usage of ZEISS electron microscopes * Deep curiosity and willingness to dive into new subject areas * First experience with electron microscopes and/or machine learning are an advantage
You will have the possibility to improve your knowledge in many areas, such as the application of deep learning models and image processing algorithms, advanced software engineering topics and usage of ZEISS electron microscopes * Deep curiosity and willingness to dive into new subject areas * First experience with electron microscopes and/or machine learning are an advantage
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Schnelle Bewerbung
Erfahrung im Betreiben von Deep-Learning-Workflows in der Produktion mit PyTorch oder TensorFlow
Erfahrung im Betreiben von Deep-Learning-Workflows in der Produktion mit PyTorch oder TensorFlow
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Schnelle Bewerbung
Entwicklung und Optimierung komplexer KI-Algorithmen für den Bereich Medical Imaging unter Nutzung von Machine Learning und Deep Learning. * Fundierte Kenntnisse in Machine Learning, Deep Learning und den entsprechenden Frameworks (z. B. TensorFlow, PyTorch).
Entwicklung und Optimierung komplexer KI-Algorithmen für den Bereich Medical Imaging unter Nutzung von Machine Learning und Deep Learning. * Fundierte Kenntnisse in Machine Learning, Deep Learning und den entsprechenden Frameworks (z. B. TensorFlow, PyTorch).
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Integrate PyTorch Deep Learning models into C++ pipelines, and deploy them for real-time inference on NVIDIA GPUs. Solve hard technical problems at the intersection of deep learning, real-time systems, and production software engineering. * Master's or PhD degree in Computer Science or Machine Learning.
Integrate PyTorch Deep Learning models into C++ pipelines, and deploy them for real-time inference on NVIDIA GPUs. Solve hard technical problems at the intersection of deep learning, real-time systems, and production software engineering. * Master's or PhD degree in Computer Science or Machine Learning.
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Schnelle Bewerbung
We combine a digital inspection platform with proprietary deep-learning models and an evolving agentic AI system that learns from asset integrity engineers. * Deep learning models for weld defect detection and corrosion analysis on radiographic and ultrasonic data - We are looking for an exceptional ML engineer working student to help us solve some of the hardest applied machine learning problems in industrial inspection — from weld defect detection and corrosion analysis on radiographic data to future UT-based systems and long-term corrosion prediction.
We combine a digital inspection platform with proprietary deep-learning models and an evolving agentic AI system that learns from asset integrity engineers. * Deep learning models for weld defect detection and corrosion analysis on radiographic and ultrasonic data - We are looking for an exceptional ML engineer working student to help us solve some of the hardest applied machine learning problems in industrial inspection — from weld defect detection and corrosion analysis on radiographic data to future UT-based systems and long-term corrosion prediction.
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Entwicklungsingenieur Medizintechnik (m/w/d) | Spezialisierung Bildverarbeitung
Entwicklungsingenieur Medizintechnik (m/w/d) | Spezialisierung Bildverarbeitung
Dr. Mach GmbH & Co. KG
Grafing
Praktische Erfahrung mit Python-basierten Deep-Learning-Frameworks wie oderDeep Learning:PyTorchTensorFlow
Praktische Erfahrung mit Python-basierten Deep-Learning-Frameworks wie oderDeep Learning:PyTorchTensorFlow
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• Interesse oder Kenntnisse in klassischen Machine-Learning- und Deep-Learning-Techniken (von Vorteil, aber nicht zwingend erforderlich) • Mitarbeit an einem breiten Spektrum an KI-Projekten, das von LLM-Use-Cases über Computer Vision und Full-Stack-Chatbot-Entwicklung bis hin zu Machine Learning Operations (MLOps) reicht - Dein Profil Erfahrung in KI und Machine Learning • Kenntnisse fortgeschrittener Machine-Learning-Methoden mit Libraries wie Scikit-learn, PyTorch oder TensorFlow
• Interesse oder Kenntnisse in klassischen Machine-Learning- und Deep-Learning-Techniken (von Vorteil, aber nicht zwingend erforderlich) • Mitarbeit an einem breiten Spektrum an KI-Projekten, das von LLM-Use-Cases über Computer Vision und Full-Stack-Chatbot-Entwicklung bis hin zu Machine Learning Operations (MLOps) reicht - Dein Profil Erfahrung in KI und Machine Learning • Kenntnisse fortgeschrittener Machine-Learning-Methoden mit Libraries wie Scikit-learn, PyTorch oder TensorFlow
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Schnelle Bewerbung
Schwerpunkte liegen insbesondere in der automatischen Qualitätskontrolle, wobei durch die clevere Kombination von konventionellen Algorithmen und modernster, detaillierter deep-learning Technologie höchste Erkennungsgenauigkeiten geboten werden.
Schwerpunkte liegen insbesondere in der automatischen Qualitätskontrolle, wobei durch die clevere Kombination von konventionellen Algorithmen und modernster, detaillierter deep-learning Technologie höchste Erkennungsgenauigkeiten geboten werden.
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Schnelle Bewerbung
Unser Tech-Stack: c++ | python | javascript | tensorflow | keras | pytorch | computer-vision | gitea | deep-learning | embedded | realtime linux | unit-testing |
Unser Tech-Stack: c++ | python | javascript | tensorflow | keras | pytorch | computer-vision | gitea | deep-learning | embedded | realtime linux | unit-testing |
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We leverage our powerful custom-made iris recognition and presentation attack detection device, the Orb, combined with the latest research from the field of AI and Deep Learning. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. We use cutting-edge machine learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction. * Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field), with the ability to evaluate and guide both research and engineering decisions * Demonstrated experience with modern and traditional computer vision / ML, and a deep understanding of the full lifecycle: data training deployment monitoring iteration
We leverage our powerful custom-made iris recognition and presentation attack detection device, the Orb, combined with the latest research from the field of AI and Deep Learning. World has been featured on the cover of TIME Magazine, highlighted in Fast Company's Next 5 in Fintech, and explored in a Bloomberg deep dive. We use cutting-edge machine learning models deployed on custom hardware to enable high-quality image acquisition, identification, and fraud prevention, all while requiring minimal user interaction. * Strong science and/or engineering background (e.g., computer vision, machine learning, robotics, signal processing, or related field), with the ability to evaluate and guide both research and engineering decisions * Demonstrated experience with modern and traditional computer vision / ML, and a deep understanding of the full lifecycle: data training deployment monitoring iteration
Noch nichts dabei? Es gibt 590 weitere Jobs, die zu deiner Suche passen könnten
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Machine Learning Engineer - Retail & Buying (m/f/d)
Machine Learning Engineer - Retail & Buying (m/f/d)
limango GmbH
München, Home-Office
Teilweise Home-Office
Headquartered in the heart of Munich, our centrally located office is home to 300 passionate employees who share a deep commitment to understanding and fulfilling the needs of families. As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. You will join a focused team of three Machine Learning Engineers and report directly to the ML Retail Team Lead. * Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production. * Continuous Learning, access to language courses and tailored development programs.
Headquartered in the heart of Munich, our centrally located office is home to 300 passionate employees who share a deep commitment to understanding and fulfilling the needs of families. As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. You will join a focused team of three Machine Learning Engineers and report directly to the ML Retail Team Lead. * Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production. * Continuous Learning, access to language courses and tailored development programs.
NEU
Lead Research Engineer (f/m/d): Foundation and World Models on Structured Data
Lead Research Engineer (f/m/d): Foundation and World Models on Structured Data
SAP SE
Garching bei München, DE, 85748
5+ years of professional experience with a deep background in Machine Learning on Structured Data, and its application in a business context. Demonstrated ownership of scalable machine learning and data environment, with deep understanding of success criteria and trade offs. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
5+ years of professional experience with a deep background in Machine Learning on Structured Data, and its application in a business context. Demonstrated ownership of scalable machine learning and data environment, with deep understanding of success criteria and trade offs. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
NEU
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Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (BioPharmaceuticals)
Senior Scientist (m/f/d), Computational Pathology Biomarker Lead (BioPharmaceuticals)
AstraZeneca
München
Deep understanding of tissue biology, histopathology, and disease mechanisms relevant to BioPharmaceuticals * Hands-on experience with advanced tissue imaging techniques (e.g. multiplex IHC, immunofluorescence) * Hands-on experience applying machine learning/AI to image analysis and biomarker discovery * Formal training in computational biology, bioinformatics, data science, or machine learning * Individual development opportunities with a focus on lifelong learning
Deep understanding of tissue biology, histopathology, and disease mechanisms relevant to BioPharmaceuticals * Hands-on experience with advanced tissue imaging techniques (e.g. multiplex IHC, immunofluorescence) * Hands-on experience applying machine learning/AI to image analysis and biomarker discovery * Formal training in computational biology, bioinformatics, data science, or machine learning * Individual development opportunities with a focus on lifelong learning
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. You will build production-grade machine learning solutions using one of the industry's largest real-world driving datasets, powering millions of vehicles worldwide. * You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving. * You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization. * You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment. * University degree in Computer Science, Data Science, Machine Learning, Mathematics, ...
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. You will build production-grade machine learning solutions using one of the industry's largest real-world driving datasets, powering millions of vehicles worldwide. * You design and develop next-generation architecture at the intersection of multi-modal perception, foundation models, behavior learning, and end-to-end autonomous driving. * You execute training and evaluation cycles on large-scale datasets, from data curation and representation learning to error diagnosis and model optimization. * You evaluate and advance state-of-the-art methods in self-supervised learning, multi-modal fusion, and end-to-end architectures for real-world deployment. * University degree in Computer Science, Data Science, Machine Learning, Mathematics, ...
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Ideally, you have a deep understanding of the logistics and transportation market in Germany, including key players, trends, and regulations. * E-Learning and career growth opportunities.
Ideally, you have a deep understanding of the logistics and transportation market in Germany, including key players, trends, and regulations. * E-Learning and career growth opportunities.