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650 Treffer für Deep Learning Jobs in Ismaning im Umkreis von 30 km
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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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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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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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Trainee Internal Audit für Digital & Operations (m/w/d) - UniCredit Graduate Program
Trainee Internal Audit für Digital & Operations (m/w/d) - UniCredit Graduate Program
HypoVereinsbank - UniCredit - Deutschland
München
Teilweise Home-Office
Anschreiben nicht erforderlich
Du verfügst über erste Kenntnisse moderner KI- und Datenplattformen sowie über ein Interesse an Machine Learning, Deep Learning und Datenverarbeitung.
Du verfügst über erste Kenntnisse moderner KI- und Datenplattformen sowie über ein Interesse an Machine Learning, Deep Learning und Datenverarbeitung.
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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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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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Anschreiben nicht erforderlich
Sie besitzen ein solides Fundament in Machine‑Learning‑ und Deep‑Learning‑Grundlagen (Training, Optimierung, moderne Architekturen, Model Grounding)
Sie besitzen ein solides Fundament in Machine‑Learning‑ und Deep‑Learning‑Grundlagen (Training, Optimierung, moderne Architekturen, Model Grounding)
NEU
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Schnelle Bewerbung
Unsere Schwerpunkte liegen insbesondere in der automatischen Qualitätskontrolle – durch die clevere Kombination von konventionellen Algorithmen und modernster Deep-Learning-Technologie bieten wir höchste Erkennungsgenauigkeiten. * Du optimierst und erweiterst unsere Deep-Learning-Modelle und Computer-Vision-Pipelines, um Erkennungsgenauigkeit und Performance kontinuierlich zu verbessern * Erfahrung mit KI-Technologien, Deep-Learning-Algorithmen und Frameworks wie PyTorch wünschenswert
Unsere Schwerpunkte liegen insbesondere in der automatischen Qualitätskontrolle – durch die clevere Kombination von konventionellen Algorithmen und modernster Deep-Learning-Technologie bieten wir höchste Erkennungsgenauigkeiten. * Du optimierst und erweiterst unsere Deep-Learning-Modelle und Computer-Vision-Pipelines, um Erkennungsgenauigkeit und Performance kontinuierlich zu verbessern * Erfahrung mit KI-Technologien, Deep-Learning-Algorithmen und Frameworks wie PyTorch wünschenswert
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Deep understanding of applications and workflows bringing to bear Machine Learning, Deep Learning and AI. * Possess a DACH client contact base, deep domain expertise, and sales and buying practices.
Deep understanding of applications and workflows bringing to bear Machine Learning, Deep Learning and AI. * Possess a DACH client contact base, deep domain expertise, and sales and buying practices.
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Entwicklungsingenieur Medizintechnik (m/w/d) | Spezialisierung Bildverarbeitung
Entwicklungsingenieur Medizintechnik (m/w/d) | Spezialisierung Bildverarbeitung
Dr. Mach GmbH & Co. KG
Grafing
Schnelle Bewerbung
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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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 637 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.
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.
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Schnelle Bewerbung
Deep expertise in innovation management and process development, Design Thinking, UX as well as AI applications * Promotion of professional and personal development at BSH's internal GlobalLearning Campus
Deep expertise in innovation management and process development, Design Thinking, UX as well as AI applications * Promotion of professional and personal development at BSH's internal GlobalLearning Campus
Application Engineering Expert (f/m/d) - Healthcare Integration & AI Solutions
Application Engineering Expert (f/m/d) - Healthcare Integration & AI Solutions
SAP SE
Garching bei München (Munich), DE, 85748
You combine deep expertise in distributed systems with a passion for solving complex integration challenges and connecting healthcare systems with the SAP portfolio. Skills used in this role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Application Security, Cloud Architecture, Continuous Integration/Continuous Delivery (CI/CD), High Availability Engineering, Observability, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
You combine deep expertise in distributed systems with a passion for solving complex integration challenges and connecting healthcare systems with the SAP portfolio. Skills used in this role: Agentic AI Day-to-Day Practice, AI Adoption Capability, AI Output Quality Assurance, Context Engineering, AI-Assisted Automation and Prototyping, Application Security, Cloud Architecture, Continuous Integration/Continuous Delivery (CI/CD), High Availability Engineering, Observability, Learning Agility, Collaboration, Complex Problem Solving, Creative Thinking, Effective Communication. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
NEU
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Head of Public Markets Equity and Credit - Group Investment Strategy (m/f/d)
Head of Public Markets Equity and Credit - Group Investment Strategy (m/f/d)
Allianz Investment Management SE
München
Teilweise Home-Office
Deep expertise in equity and credit markets, demonstrated through original research and investment recommendations * A broad range of learning opportunities will help you staying relevant in your current role and growing into future workplace demands
Deep expertise in equity and credit markets, demonstrated through original research and investment recommendations * A broad range of learning opportunities will help you staying relevant in your current role and growing into future workplace demands
(Senior) Researcher (f/m/d) - Foundation and World Models on Structured Business Data
(Senior) Researcher (f/m/d) - Foundation and World Models on Structured Business Data
SAP SE
Garching bei München, DE, 85748
Extensive research experience with machine learning on structured data, and a deep understanding on how this translates to developing foundation models on structured data - Candidate must have an academic background in one of the following fields: Foundation Models / Machine Learning on large scale structured data, World Models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Extensive research experience with machine learning on structured data, and a deep understanding on how this translates to developing foundation models on structured data - Candidate must have an academic background in one of the following fields: Foundation Models / Machine Learning on large scale structured data, World Models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Deep-Dive Data Exploration: Explore and analyze datasets to identify patterns, edge cases, and quality issues that inform development. Functional Leadership: Proven track record of leading large-scale, end-to-end technical projects, ideally with data and machine learning deliverables. Machine Learning Skills: Solid ML knowledge with practical experience in solving real-world problems with AI - ideally in the tabular domain. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Deep-Dive Data Exploration: Explore and analyze datasets to identify patterns, edge cases, and quality issues that inform development. Functional Leadership: Proven track record of leading large-scale, end-to-end technical projects, ideally with data and machine learning deliverables. Machine Learning Skills: Solid ML knowledge with practical experience in solving real-world problems with AI - ideally in the tabular domain. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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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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Business Solution Architect Core - Energy Retail (f/m/d)
Business Solution Architect Core - Energy Retail (f/m/d)
E.ON Digital Technology GmbH
Essen, Hannover, München, Berlin, Würzburg, Hamburg, Frankfurt am Main
Teilweise Home-Office
Anschreiben nicht erforderlich
Deep knowledge of the RISE with SAP framework for cloud transitions Learning on the job, exchanging with others, or taking part in an individual training – our learning culture enables you to bring your personal and professional development to the next level.
Deep knowledge of the RISE with SAP framework for cloud transitions Learning on the job, exchanging with others, or taking part in an individual training – our learning culture enables you to bring your personal and professional development to the next level.
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. * Develop a deep understanding of the customer needs and behaviors, and work closely with the to deliver high-quality features that meet those needs. * 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. * Develop a deep understanding of the customer needs and behaviors, and work closely with the to deliver high-quality features that meet those needs. * Continuous Learning, access to language courses and tailored development programs.
Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data
Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data
SAP SE
Garching bei München, DE, 85748
Candidate must have an academic background in one of the following fields: Foundation Models / Machine Learning on large scale structured data, World Models. Extensive research experience with machine learning on structured data - Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and research - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Candidate must have an academic background in one of the following fields: Foundation Models / Machine Learning on large scale structured data, World Models. Extensive research experience with machine learning on structured data - Proven experience and deep understanding of the opportunities and challenges associated with collaboration between industrial and research - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Driven by a passion for mentoring and a deep desire to teach and learn, they will naturally translate business problems into elegant SAP-native architectures and solutions while actively giving and receiving feedback to maximize the team's collective knowledge and best practice development. * Deep understanding of SAP architecture principles, including Clean Core, RISE with SAP, GROW with SAP, and cloud transformation frameworks * Deep familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere) * Deep expertise in enterprise integration patterns and protocols (e.g., APIs, OData, SOAP) Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Driven by a passion for mentoring and a deep desire to teach and learn, they will naturally translate business problems into elegant SAP-native architectures and solutions while actively giving and receiving feedback to maximize the team's collective knowledge and best practice development. * Deep understanding of SAP architecture principles, including Clean Core, RISE with SAP, GROW with SAP, and cloud transformation frameworks * Deep familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere) * Deep expertise in enterprise integration patterns and protocols (e.g., APIs, OData, SOAP) Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.