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665 Treffer für Deep Learning Jobs in Seefeld, Bayern im Umkreis von 30 km
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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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Comprehensive expertise in modern machine learning 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 machine learning 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.
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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
NEU
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Lead IT Expert DevOps & Platform Engineering (m/w/d)
Lead IT Expert DevOps & Platform Engineering (m/w/d)
BWI GmbH
Berlin, Frankfurt, Hamburg, Hannover, München, Nürnberg, Ulm, Bonn, Leipzig
Teilweise Home-Office
Schnelle Bewerbung
Etwa 6 Jahre Berufserfahrung, insbesondere im laufenden Betrieb mit DevOps auf Cloud-native IaC und MLOps eines KI-/ML-PaaS oder in einem der folgenden Themenfelder: generative KI, Machine Learning, oder Deep Learning Dies umfasst auch die Themen Data Science, KI & Machine Learning. * Sehr gute CI/CD Kenntnisse auf Basis von GitOps und Kubernetes sowie gängiger Machine Learning-Frameworks wie z.B. TensorFlow, Scikit-learn, PyTorch und generativer KI und Large Language-Modellen sowie im Deployment von Machine Learning-Systemen
Etwa 6 Jahre Berufserfahrung, insbesondere im laufenden Betrieb mit DevOps auf Cloud-native IaC und MLOps eines KI-/ML-PaaS oder in einem der folgenden Themenfelder: generative KI, Machine Learning, oder Deep Learning Dies umfasst auch die Themen Data Science, KI & Machine Learning. * Sehr gute CI/CD Kenntnisse auf Basis von GitOps und Kubernetes sowie gängiger Machine Learning-Frameworks wie z.B. TensorFlow, Scikit-learn, PyTorch und generativer KI und Large Language-Modellen sowie im Deployment von Machine Learning-Systemen
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Praktikum als Fellow Consultant (w/m/d) Data Science & AI
Praktikum als Fellow Consultant (w/m/d) Data Science & AI
Horváth
Berlin, Düsseldorf, Frankfurt, Hamburg, München, Stuttgart
Teilweise Home-Office
Gleichzeitig bringst du idealerweise bereits erste praktische Einblicke in Bereichen wie GenAI, LLM, Predictive Analytics, Machine Learning, Operations Research, Customer Analytics, Ensemble Learning Methoden oder Deep Learning mit. Du bist nicht nur Teil unseres Teams, sondern startest auch direkt inhaltlich in unseren anspruchsvollen Entwicklungs- und Beratungsprojekten rund um Predictive Analytics, Optimization Analytics, Machine Learning oder Artificial Intelligence.
Gleichzeitig bringst du idealerweise bereits erste praktische Einblicke in Bereichen wie GenAI, LLM, Predictive Analytics, Machine Learning, Operations Research, Customer Analytics, Ensemble Learning Methoden oder Deep Learning mit. Du bist nicht nur Teil unseres Teams, sondern startest auch direkt inhaltlich in unseren anspruchsvollen Entwicklungs- und Beratungsprojekten rund um Predictive Analytics, Optimization Analytics, Machine Learning oder Artificial Intelligence.
NEU
Strong expertise in modern ML methods (e.g., deep learning, time series, NLP, multimodal models) and their practical limitations.
Strong expertise in modern ML methods (e.g., deep learning, time series, NLP, multimodal models) and their practical limitations.
Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations. * Profound knowledge of applying machine learning to 3D geometry, including geometry encoding for large scale models and familiarity with geometric deep learning architectures (for example GNNs, diffusion models, PointNet++, or similar). * In addition, you will benchmark machine learning methods with regard to their ability to understand relationships between geometries, textual descriptions, and other modalities, including physical properties.
Furthermore, you will develop a deep understanding of machine learning models applied to 3D geometries such as CAD files and simulations. * Profound knowledge of applying machine learning to 3D geometry, including geometry encoding for large scale models and familiarity with geometric deep learning architectures (for example GNNs, diffusion models, PointNet++, or similar). * In addition, you will benchmark machine learning methods with regard to their ability to understand relationships between geometries, textual descriptions, and other modalities, including physical properties.
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Fundament: Während dein Fokus auf Generative AI liegt, nutzt du dein Wissen in klassischen Machine-Learning-Verfahren und Deep Learning, um hybride Lösungen zu schaffen, wo LLMs alleine nicht ausreichen. * KI-Fundament: Du verstehst die Mathematik hinter Deep Learning und hast bereits mit Bibliotheken wie PyTorch oder TensorFlow gearbeitet – dies hilft dir, GenAI-Modelle tiefergehend zu verstehen.
Fundament: Während dein Fokus auf Generative AI liegt, nutzt du dein Wissen in klassischen Machine-Learning-Verfahren und Deep Learning, um hybride Lösungen zu schaffen, wo LLMs alleine nicht ausreichen. * KI-Fundament: Du verstehst die Mathematik hinter Deep Learning und hast bereits mit Bibliotheken wie PyTorch oder TensorFlow gearbeitet – dies hilft dir, GenAI-Modelle tiefergehend zu verstehen.
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Machine Learning Engineer / Data Scientist Google Cloud (all genders)
Machine Learning Engineer / Data Scientist Google Cloud (all genders)
adesso SE
Berlin, Bremen, Dresden, Hamburg, Kiel, Leipzig, München, Nürnberg, Rostock, Stuttgart, Ulm
Teilweise Home-Office
Anschreiben nicht erforderlich
Machine Learning Erfahrung: Du bringst Erfahrung in Machine Learning, Deep Learning und Computerlinguistik mit. * Machine Learning Anwendungen: Du entwickelst moderne, skalierbare Machine Learning-Lösungen auf der Google Cloud. * Deployment: Du setzt Python ein, um Machine Learning-Modelle in produktionsbereite Daten-Pipelines zu integrieren. * Kundenspezifische Lösungen: Du übersetzt Kundenanforderungen effizient in maßgeschneiderte Machine Learning-Lösungen.
Machine Learning Erfahrung: Du bringst Erfahrung in Machine Learning, Deep Learning und Computerlinguistik mit. * Machine Learning Anwendungen: Du entwickelst moderne, skalierbare Machine Learning-Lösungen auf der Google Cloud. * Deployment: Du setzt Python ein, um Machine Learning-Modelle in produktionsbereite Daten-Pipelines zu integrieren. * Kundenspezifische Lösungen: Du übersetzt Kundenanforderungen effizient in maßgeschneiderte Machine Learning-Lösungen.
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Experimentieren mit modernen Technologien (z. B. Agentic AI, Deep Learning oder LLMs) und deren Integration in unsere Projekte * Lernen und Entwicklung: Wir verstehen lebenslanges Lernen als festen Bestandteil unserer Unternehmenskultur durch z.B. ein eigenes Learning-Management-System und zahlreiche individuelle Möglichkeiten zur Weiterbildung
Experimentieren mit modernen Technologien (z. B. Agentic AI, Deep Learning oder LLMs) und deren Integration in unsere Projekte * Lernen und Entwicklung: Wir verstehen lebenslanges Lernen als festen Bestandteil unserer Unternehmenskultur durch z.B. ein eigenes Learning-Management-System und zahlreiche individuelle Möglichkeiten zur Weiterbildung
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Schnelle Bewerbung
Konzeption, Implementierung und Weiterentwicklung von Deep-Learning-Modellen unter Verwendung von PyTorch
Konzeption, Implementierung und Weiterentwicklung von Deep-Learning-Modellen unter Verwendung von PyTorch
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Schnelle Bewerbung
Proprietary ML systems, not off-the-shelf magic: Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge.
Proprietary ML systems, not off-the-shelf magic: Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge.
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We are looking for AI Supercomputing Solutions Architects to join our NVIDIA Infrastructure Services effort to support academic and commercial groups in using NVIDIA products to advance deep learning, data analytics and scientific simulation. * 3+ years of research experience in Deep Learning with a track record of scientific publications * Significant experience in High-Performance Computing or Deep Learning
We are looking for AI Supercomputing Solutions Architects to join our NVIDIA Infrastructure Services effort to support academic and commercial groups in using NVIDIA products to advance deep learning, data analytics and scientific simulation. * 3+ years of research experience in Deep Learning with a track record of scientific publications * Significant experience in High-Performance Computing or Deep Learning
NEU
NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. * Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks. * You will show a deep understanding of who and how to engage the 's product and engineering organizations with at least 8 years related experience.
NVIDIA is the world leader in accelerated computing and artificial intelligence, and has been powering up Deep Learning, AI, accelerated data analytics, autonomous systems and robots around the world. * Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks. * You will show a deep understanding of who and how to engage the 's product and engineering organizations with at least 8 years related experience.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks. * You will show a deep understanding of who and how to engage the 's product and engineering organizations with at least 8 years related experience.
Expertise in CUDA programming, GPU platforms and Deep Learning and Machine Learning frameworks. * You will show a deep understanding of who and how to engage the 's product and engineering organizations with at least 8 years related experience.
Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Artificial Intelligence, Deep Learning, and Autonomous Vehicles. * Integrate deep learning models into C++ pipelines: take models trained in Python (PyTorch or TensorFlow), export/convert them, and deploy them for real-time inference on NVIDIA GPUs. * Hands-on experience training and using deep learning models (PyTorch or TensorFlow): designing experiments, tuning hyperparameters, working with large datasets, and debugging model behavior. 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 in Machine Learning
Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Artificial Intelligence, Deep Learning, and Autonomous Vehicles. * Integrate deep learning models into C++ pipelines: take models trained in Python (PyTorch or TensorFlow), export/convert them, and deploy them for real-time inference on NVIDIA GPUs. * Hands-on experience training and using deep learning models (PyTorch or TensorFlow): designing experiments, tuning hyperparameters, working with large datasets, and debugging model behavior. 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 in Machine Learning
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Auseinandersetzung mit Machine-Learning Methoden sowie State-of-the-Art Ansätzen im Bereich Deep Learning und Transfer der Erkenntnisse ins Team
Auseinandersetzung mit Machine-Learning Methoden sowie State-of-the-Art Ansätzen im Bereich Deep Learning und Transfer der Erkenntnisse ins Team
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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Experience with deep learning frameworks (PyTorch, TensorFlow). As an AI/ML Platform Engineer at Cobrainer, you will design, build, and maintain scalable infrastructure to support our AI and machine learning operations.
Experience with deep learning frameworks (PyTorch, TensorFlow). As an AI/ML Platform Engineer at Cobrainer, you will design, build, and maintain scalable infrastructure to support our AI and machine learning operations.
Experience with deep learning frameworks (PyTorch, TensorFlow). As a Senior AI/ML Platform Engineer at Cobrainer, you will design, build, and maintain scalable infrastructure to support our AI and machine learning operations.
Experience with deep learning frameworks (PyTorch, TensorFlow). As a Senior AI/ML Platform Engineer at Cobrainer, you will design, build, and maintain scalable infrastructure to support our AI and machine learning operations.
Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Artificial Intelligence, Deep Learning, and Autonomous Vehicles. * Integrate deep learning models into C++ pipelines: take models trained in Python (PyTorch or TensorFlow), export/convert them, and deploy them for real-time inference on NVIDIA GPUs. * Hands-on experience training and using deep learning models (PyTorch or TensorFlow): designing experiments, tuning hyperparameters, working with large datasets, and debugging model behavior. 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 in Machine Learning
Step into the future with NVIDIA, a global leader in AI computing, data science, and graphics, driving innovation in Artificial Intelligence, Deep Learning, and Autonomous Vehicles. * Integrate deep learning models into C++ pipelines: take models trained in Python (PyTorch or TensorFlow), export/convert them, and deploy them for real-time inference on NVIDIA GPUs. * Hands-on experience training and using deep learning models (PyTorch or TensorFlow): designing experiments, tuning hyperparameters, working with large datasets, and debugging model behavior. 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 in Machine Learning
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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 |
If you have a passion for how technology is driving multifaceted changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Sophisticated Software Development, we'd like to talk with you! * Understanding of data science workflows, modern machine learning and AI trends.
If you have a passion for how technology is driving multifaceted changes in exciting segments like Artificial Intelligence, Deep Learning, Cloud and Sophisticated Software Development, we'd like to talk with you! * Understanding of data science workflows, modern machine learning and AI trends.
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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
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Administrator SharePoint Farm (mwd)
Administrator SharePoint Farm (mwd)
Vesterling AG
München, München, Nürnberg, Nürnberg, Berlin, Berlin, Hamburg, Hamburg, Deutschland, Deutschland
Teilweise Home-Office
Projekte im Bereich Data Analytics, Data Science, Machine Learning und Deep Learning nehmen eine immer größere Rolle ein.
Projekte im Bereich Data Analytics, Data Science, Machine Learning und Deep Learning nehmen eine immer größere Rolle ein.
Beliebte Jobs
Standorte
- München
- Augsburg
- Garching bei München
- Landsberg am Lech
- Gilching
- Kaufbeuren
- Penzberg
- Ismaning
- Fürstenfeldbruck
- Aichach
- Unterföhring
- Ottobrunn
- Friedberg, Bayern
- Gräfelfing
- Aschheim
- Kirchheim bei München
- Planegg
- Schwabmünchen
- Höhenkirchen-Siegertsbrunn
- Baisweil
- Europa
- Westliches Europa
- Süddeutschland
- Bayern
- Neckarland-Schwaben
- Südbayern
- Oberbayern