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791 Treffer für Deep Learning Jobs in Dahlwitz Hoppegarten im Umkreis von 30 km
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Du verfügst über gute Kenntnisse in Machine Learning und Deep Learning. Du begleitest unsere Teilnehmenden ganzheitlich – von den ersten Zeilen Code bis zum fertigen Machine-Learning-Projekt.
Du verfügst über gute Kenntnisse in Machine Learning und Deep Learning. Du begleitest unsere Teilnehmenden ganzheitlich – von den ersten Zeilen Code bis zum fertigen Machine-Learning-Projekt.
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Foundational knowledge of Deep Learning is needed, including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features. * Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications. * Drive your project and work with experienced , machine learning engineers, and to deliver customer value and allow you to develop your skill-set further. * Proven record of implementations in the prototyping, development, and productionizing of machine learning solutions, particularly in ban
Foundational knowledge of Deep Learning is needed, including an understanding of neural networks, transformers, and autoencoders, and experience with frameworks like TensorFlow, Keras, or PyTorch. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features. * Have end-to-end responsibility, from data exploration to applying state-of-the-art machine learning techniques and building production-ready applications. * Drive your project and work with experienced , machine learning engineers, and to deliver customer value and allow you to develop your skill-set further. * Proven record of implementations in the prototyping, development, and productionizing of machine learning solutions, particularly in ban
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Lead IT Expert DevOps & Platform Engineering (m/w/d)
Lead IT Expert DevOps & Platform Engineering (m/w/d)
BWI GmbH
bundesweit, Berlin, Frankfurt, Hamburg, Hannover, München, Nürnberg, Ulm, Bonn, Leipzig
Teilweise Home-Office
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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Professor*in (w/m/d) für das Fachgebiet "Wirtschaftsinformatik, insbes. Angewandte KI"
Professor*in (w/m/d) für das Fachgebiet "Wirtschaftsinformatik, insbes. Angewandte KI"
Technische Hochschule Wildau
Wildau bei Berlin
Umfassende Kenntnisse der aktuellen KI-Methoden, -Werkzeuge und -Frameworks (z. B. aus den Bereichen Maschinelles Lernen, Deep Learning, Generative KI)
Umfassende Kenntnisse der aktuellen KI-Methoden, -Werkzeuge und -Frameworks (z. B. aus den Bereichen Maschinelles Lernen, Deep Learning, Generative KI)
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You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. * Hands-on experience with deep learning frameworks like PyTorch or JAX. * Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. * Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).
You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. * Hands-on experience with deep learning frameworks like PyTorch or JAX. * Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. * Deep expertise in the internals of PyTorch, particularly its compiler stack (TorchDynamo, TorchInductor).
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PhD and relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational chemistry. Join Pfizer's Machine Learning Research group as a Postdoctoral Researcher on LIGAND-AI, a €60M, five-year IHI consortium of 18 partners across nine countries. Ideal candidates have a strong track record in ligand-based drug design, QSAR modeling, representation learning, interaction modeling, with creativity and rigor applied to drug discovery. * Build and validate learning methods to integrate multimodal data (protein structures, ligand libraries, DEL and ASMS assays) for binder prediction and target selection. * Research, design, and implement algorithms for large-scale protein-ligand interaction modeling, active learning, and
PhD and relevant research experience in developing machine/deep learning-based solutions and a sincere interest for computational chemistry. Join Pfizer's Machine Learning Research group as a Postdoctoral Researcher on LIGAND-AI, a €60M, five-year IHI consortium of 18 partners across nine countries. Ideal candidates have a strong track record in ligand-based drug design, QSAR modeling, representation learning, interaction modeling, with creativity and rigor applied to drug discovery. * Build and validate learning methods to integrate multimodal data (protein structures, ligand libraries, DEL and ASMS assays) for binder prediction and target selection. * Research, design, and implement algorithms for large-scale protein-ligand interaction modeling, active learning, and
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Senior Administrator SharePoint Farm (mwd)
Senior Administrator SharePoint Farm (mwd)
Vesterling AG
München, Nürnberg, Berlin, Hamburg, Köln, Frankfurt am Main, Mannheim, Stuttgart, 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.
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Schnelle Bewerbung
Thissenior position requires a minimum of 2 years experience within the deep learning field. * Strong foundation in machine learning, particularly deep learning and sequence models - We are looking to strengthen our team with one additional Senior Machine Learning Research Engineer (m/f/d) role. In this role, you will work on all aspects of our cutting-edge machine learning pipeline for intraday price predictions (dataset creation, model training, model evaluation, model deployment). * Improve all aspects of our current machine learning pipeline for intraday price predictions: dataset creation, dataset loading, model training, model evaluation, and model deployment
Thissenior position requires a minimum of 2 years experience within the deep learning field. * Strong foundation in machine learning, particularly deep learning and sequence models - We are looking to strengthen our team with one additional Senior Machine Learning Research Engineer (m/f/d) role. In this role, you will work on all aspects of our cutting-edge machine learning pipeline for intraday price predictions (dataset creation, model training, model evaluation, model deployment). * Improve all aspects of our current machine learning pipeline for intraday price predictions: dataset creation, dataset loading, model training, model evaluation, and model deployment
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We're looking for a Machine Learning Research Engineer with a deep understanding of the audio modality, a strong track record of developing and deploying custom deep learning models, as well as designing specialized data pipelines, and the drive to create real-world impact beyond academic benchmarks. * Model development & deployment: Design, implement, train, evaluate, optimize, and deploy deep learning models for speech enhancement related audio problems. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. Join a small, focused team building the core algorithms behind our products, wh
We're looking for a Machine Learning Research Engineer with a deep understanding of the audio modality, a strong track record of developing and deploying custom deep learning models, as well as designing specialized data pipelines, and the drive to create real-world impact beyond academic benchmarks. * Model development & deployment: Design, implement, train, evaluate, optimize, and deploy deep learning models for speech enhancement related audio problems. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. Join a small, focused team building the core algorithms behind our products, wh
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Develop, optimize, and integrate AI and deep learning models, particularly in computer vision, into production and mobile environments. * 3+ years of experience in AI, deep learning, or computer vision, with a focus on real-world model integration. * Proficiency in Python, with hands-on experience using deep learning frameworks like PyTorch and inference platforms like ONNX and TensorRT. As a Senior Machine Learning Engineer - AI Integration Engineer, you will be instrumental in developing AI solutions and integrating them into our production environments and on mobile devices.
Develop, optimize, and integrate AI and deep learning models, particularly in computer vision, into production and mobile environments. * 3+ years of experience in AI, deep learning, or computer vision, with a focus on real-world model integration. * Proficiency in Python, with hands-on experience using deep learning frameworks like PyTorch and inference platforms like ONNX and TensorRT. As a Senior Machine Learning Engineer - AI Integration Engineer, you will be instrumental in developing AI solutions and integrating them into our production environments and on mobile devices.
We're looking for a Machine Learning Intern with a strong background in deep learning and hands-on experience in audio and speech processing. * Model development & deployment: Design, implement, train, evaluate, optimize, and deploy deep learning models for speech enhancement and related audio problems. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. You'll work on applied research and development tasks closely aligned with the core machine learning algorithms behind our products, contributing to , data pipelines, and evaluation under the guidance of and . This role is aimed at PhD
We're looking for a Machine Learning Intern with a strong background in deep learning and hands-on experience in audio and speech processing. * Model development & deployment: Design, implement, train, evaluate, optimize, and deploy deep learning models for speech enhancement and related audio problems. We are backed by leading early-stage investors including Connect Ventures, Partech, Inovia Capital, as well as angel investors from HuggingFace, DeepMind and Amazon with deep expertise in AI and developer infrastructure. You'll work on applied research and development tasks closely aligned with the core machine learning algorithms behind our products, contributing to , data pipelines, and evaluation under the guidance of and . This role is aimed at PhD
Work together with our AI-experts on improving and expanding our deep learning models and bringing them to market. * Extensive experience in deep learning methods, ML or statistical modeling
Work together with our AI-experts on improving and expanding our deep learning models and bringing them to market. * Extensive experience in deep learning methods, ML or statistical modeling
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An interest in AI, computer vision, and deep learning.
An interest in AI, computer vision, and deep learning.
Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities. Experience with robotic perception technologies and deep learning frameworks as applied to manipulation. You have a strong background in robotic manipulation, extensive experience in modeling, planning, and controlling robotic systems, as well as applying machine learning techniques to enhance robotic manipulation capabilities. Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots. Hands-on experience with machine learning techniques applied to robotic manipulation tasks. Proficiency with machi
Utilize deep learning techniques for end-to-end and self-supervised grasping, enhancing the robot's autonomous manipulation capabilities. Experience with robotic perception technologies and deep learning frameworks as applied to manipulation. You have a strong background in robotic manipulation, extensive experience in modeling, planning, and controlling robotic systems, as well as applying machine learning techniques to enhance robotic manipulation capabilities. Experience with supervised learning, unsupervised learning, and reinforcement learning techniques to improve manipulation performance in robots. Hands-on experience with machine learning techniques applied to robotic manipulation tasks. Proficiency with machi
Work closely with to improve, expand, and operationalize deep learning models. * Hands-on experience with machine learning, statistical modeling, or deep learning approaches.
Work closely with to improve, expand, and operationalize deep learning models. * Hands-on experience with machine learning, statistical modeling, or deep learning approaches.
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Tiefes Verständnis von Deep-Learning-Grundlagen, Metriken und Evaluierungsmethoden.
Tiefes Verständnis von Deep-Learning-Grundlagen, Metriken und Evaluierungsmethoden.
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Bei Data Spree in Berlin sind wir führend im Deep Learning und suchen einen engagierten Data Collection and Labeling Assistant (m/w/d) im Nebenjob. Unsere Mission ist es, Deep Learning zugänglich zu machen. * Unterstützung bei der Sammlung und Organisation von Bilddaten zum Training von Deep-Learning-Modellen.
Bei Data Spree in Berlin sind wir führend im Deep Learning und suchen einen engagierten Data Collection and Labeling Assistant (m/w/d) im Nebenjob. Unsere Mission ist es, Deep Learning zugänglich zu machen. * Unterstützung bei der Sammlung und Organisation von Bilddaten zum Training von Deep-Learning-Modellen.
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Mit unseren Technologien, Innovationsgeist und Know-how entlang der gesamten KI-Wertschöpfungskette ermöglichen wir unseren Kunden eine zuverlässige und zukunftssichere Produktion von Deep-Learning-Modellen.
Mit unseren Technologien, Innovationsgeist und Know-how entlang der gesamten KI-Wertschöpfungskette ermöglichen wir unseren Kunden eine zuverlässige und zukunftssichere Produktion von Deep-Learning-Modellen.
Noch nichts dabei? Es gibt 773 weitere Jobs, die zu deiner Suche passen könnten
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Collaborate closely with your team and key stakeholders to convert business requirements into Machine Learning solutions * Deep knowledge in statistical and quantitative analysis, coupled with practical expertise in SQL and Python, honed over several years. * Proven leadership skills, with a track record of delivering end-to-end Machine Learning products in collaborative environments * Machine Learning: hands-on experience with a wide array of machine learning methods, along with the ability to discern the most suitable technique for various problems. * Educational budget to support your continuous learning and development.
Collaborate closely with your team and key stakeholders to convert business requirements into Machine Learning solutions * Deep knowledge in statistical and quantitative analysis, coupled with practical expertise in SQL and Python, honed over several years. * Proven leadership skills, with a track record of delivering end-to-end Machine Learning products in collaborative environments * Machine Learning: hands-on experience with a wide array of machine learning methods, along with the ability to discern the most suitable technique for various problems. * Educational budget to support your continuous learning and development.
NEU
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Deep Discovery: Using user-centred and data-informed design to understand exactly what our patients need to succeed. * Annual learning & development budget.
Deep Discovery: Using user-centred and data-informed design to understand exactly what our patients need to succeed. * Annual learning & development budget.
NEU
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Build and maintain sophisticated pricing models and algorithms using advanced analytical techniques and machine learning approaches * Generate commercial insights by conducting deep-dive analyses on pricing elasticity, customer behavior, market dynamics, and competitive positioning
Build and maintain sophisticated pricing models and algorithms using advanced analytical techniques and machine learning approaches * Generate commercial insights by conducting deep-dive analyses on pricing elasticity, customer behavior, market dynamics, and competitive positioning
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Develop corporate strategy in close alignment with senior leadership vision and objectives by conducting deep, insightful market / trend / competitor analysis and identifying & assessing strategic opportunities for BMG * Exceptional learning and development opportunities, including structured development programs, access to BMG Campus and Bertelsmann University, and training opportunities with leading global and top-tier academic institutions
Develop corporate strategy in close alignment with senior leadership vision and objectives by conducting deep, insightful market / trend / competitor analysis and identifying & assessing strategic opportunities for BMG * Exceptional learning and development opportunities, including structured development programs, access to BMG Campus and Bertelsmann University, and training opportunities with leading global and top-tier academic institutions
NEU
We are on the lookout for a Senior Cloud Security Engineer with deep expertise in Data Loss Prevention and Data Security Posture Management within cloud environments, who is ready to take the lead in safeguarding our sensitive data. * Data Security: Deep understanding of cloud data security challenges and best practices across cloud cloud environments. * Growth-Driven: A growth mindset focused on learning and pushing the team forward.
We are on the lookout for a Senior Cloud Security Engineer with deep expertise in Data Loss Prevention and Data Security Posture Management within cloud environments, who is ready to take the lead in safeguarding our sensitive data. * Data Security: Deep understanding of cloud data security challenges and best practices across cloud cloud environments. * Growth-Driven: A growth mindset focused on learning and pushing the team forward.
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Deep understanding of the threat landscape, including cyber, espionage, economic security, and hybrid threats, with a focus on EU geopolitics. * Commitment to continuous learning and development in national and international security affairs - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Deep understanding of the threat landscape, including cyber, espionage, economic security, and hybrid threats, with a focus on EU geopolitics. * Commitment to continuous learning and development in national and international security affairs - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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You will leverage your deep understanding of the local market and our partner landscape to identify and translate partner needs into actionable opportunities. * Plenty of learning opportunities via our Learning Hub, Bookboon, internal training, and online English courses.
You will leverage your deep understanding of the local market and our partner landscape to identify and translate partner needs into actionable opportunities. * Plenty of learning opportunities via our Learning Hub, Bookboon, internal training, and online English courses.