Schnelle Bewerbung
261
Erscheinungsdatum
Home-Office-Optionen
Pendelzeit
Bewerbungsart
Sprache
Fähigkeiten
Berufsfeld
Branche
Region
Städte
Berufserfahrung
Anstellungsart
Arbeitszeit
Filter
SortierungRelevanz
Beliebte Jobs
- Informatik
- Artificial Intelligence
- Blockchain-Technologie
- KI-Developer
- Digital Communication
- Physiotherapeut Ausbildung
- Industriekaufmann Ausbildung
- Verwaltung
- App Development
- Data Scientist Ausbildung
- Analyse
- IT
- Rettungssanitäter Ausbildung
- Ingenieur
- Kfz Mechaniker Ausbildung
- Heilpraktiker Ausbildung
Standorte
- München
- Augsburg
- Garching bei München
- Starnberg
- Erding
- Fürstenfeldbruck
- Ismaning
- Ottobrunn
- Unterföhring
- Aschheim
- Gilching
- Kirchheim bei München
- Planegg
- Gräfelfing
- Taufkirchen
- Friedberg, Bayern
- Gauting
- Hallbergmoos
- Wörth
- Waakirchen
- Europa
- Westliches Europa
- Süddeutschland
- Bayern
- Neckarland-Schwaben
- Südbayern
- Oberbayern
Home-Office-Optionen
Gehalt
Leg fest, wie viel du mindestens verdienen willst.
Pendelzeit
Bewerbungsart
Sprache
Fähigkeiten
Berufsfeld
Branche
Region
Städte
Berufserfahrung
Anstellungsart
Arbeitszeit
Beliebte Jobs
- Informatik
- Artificial Intelligence
- Blockchain-Technologie
- KI-Developer
- Digital Communication
- Physiotherapeut Ausbildung
- Industriekaufmann Ausbildung
- Verwaltung
- App Development
- Data Scientist Ausbildung
- Analyse
- IT
- Rettungssanitäter Ausbildung
- Ingenieur
- Kfz Mechaniker Ausbildung
- Heilpraktiker Ausbildung
Standorte
- München
- Augsburg
- Garching bei München
- Starnberg
- Erding
- Fürstenfeldbruck
- Ismaning
- Ottobrunn
- Unterföhring
- Aschheim
- Gilching
- Kirchheim bei München
- Planegg
- Gräfelfing
- Taufkirchen
- Friedberg, Bayern
- Gauting
- Hallbergmoos
- Wörth
- Waakirchen
- Europa
- Westliches Europa
- Süddeutschland
- Bayern
- Neckarland-Schwaben
- Südbayern
- Oberbayern
606 Treffer für Deep Learning Jobs in Planegg im Umkreis von 30 km
){kind=logo}
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.
){kind=logo}
Alles rund um Big Data, Data Analytics, Data Mining, Machine- & Deep-Learning, Artificial Neural Networks etc. in der Unternehmenspraxis. * Theoretische und praktische Kenntnisse in spannenden Vorlesungen des Studiums wie bspw. Computorial Thinking, Robotik, Datenerhaltung, Objektorientierte Programmierung, Deep Learning und Modelbildung/Simulation. Egal ob autonomes Fahren, vernetzte Fahrzeuge, Cyber Security oder Machine Learning – ohne dich läuft es nicht!
Alles rund um Big Data, Data Analytics, Data Mining, Machine- & Deep-Learning, Artificial Neural Networks etc. in der Unternehmenspraxis. * Theoretische und praktische Kenntnisse in spannenden Vorlesungen des Studiums wie bspw. Computorial Thinking, Robotik, Datenerhaltung, Objektorientierte Programmierung, Deep Learning und Modelbildung/Simulation. Egal ob autonomes Fahren, vernetzte Fahrzeuge, Cyber Security oder Machine Learning – ohne dich läuft es nicht!
){kind=logo}
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.
){kind=logo}
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
){kind=logo}
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
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.
){kind=logo}
In cross-functional teams, you will drive & manage projects in the field of Artificial Intelligence, encompassing Machine Learning (ML) Deep Learning and AI, Generative AI and Agentic AI * Experiences in Feature Engineering, Unsupervised & Supervised Learning, Prompt Engineering, RAG, Model deployment and operation in the cloud * Hands on experience in Data Science, Machine Learning or similar role
In cross-functional teams, you will drive & manage projects in the field of Artificial Intelligence, encompassing Machine Learning (ML) Deep Learning and AI, Generative AI and Agentic AI * Experiences in Feature Engineering, Unsupervised & Supervised Learning, Prompt Engineering, RAG, Model deployment and operation in the cloud * Hands on experience in Data Science, Machine Learning or similar role
){kind=logo}
Schnelle Bewerbung
Eigenverantwortliche Umsetzung von Projekten in den Bereichen Datenaufbereitung und -visualisierung, objektorientierte Programmierung sowie Deep Learning
Eigenverantwortliche Umsetzung von Projekten in den Bereichen Datenaufbereitung und -visualisierung, objektorientierte Programmierung sowie Deep Learning
){kind=logo}
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
){kind=logo}
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.
){kind=logo}
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
){kind=logo}
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
Schnelle Bewerbung
deep-learning Technologie höchste Erkennungsgenauigkeiten geboten
deep-learning Technologie höchste Erkennungsgenauigkeiten geboten
){kind=logo}
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 |
){kind=logo}
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 591 weitere Jobs, die zu deiner Suche passen könnten
){kind=logo}
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.
){kind=logo}
Schnelle Bewerbung
Deep knowledge of M&A Lifecycle to independently manage end-to-end processes, and passion for developing long-term business concepts * Access to professional and personal development at BSH's internal Global Learning Campus
Deep knowledge of M&A Lifecycle to independently manage end-to-end processes, and passion for developing long-term business concepts * Access to professional and personal development at BSH's internal Global Learning Campus
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.
){kind=logo}
(Senior) AI Engineer (m/f/d)
(Senior) AI Engineer (m/f/d)
Unternehmensgruppe Theo Müller GmbH & Co. KG
Freising, München
Teilweise Home-Office
You design and ship production-grade AI solutions end-to-end: classical machine learning, statistics and optimization as well as LLM-based systems with RAG, agentic workflows and solid prompting. * Backed by strong AI expertise, you are confident in the maths and statistics behind machine learning and hands-on with modern LLM tooling such as RAG, agents and prompting. * Databricks feels like home to you, or you bring deep experience with a major cloud provider (AWS, GCP or others). Bring your own ideas and learnings in: we will listen.
You design and ship production-grade AI solutions end-to-end: classical machine learning, statistics and optimization as well as LLM-based systems with RAG, agentic workflows and solid prompting. * Backed by strong AI expertise, you are confident in the maths and statistics behind machine learning and hands-on with modern LLM tooling such as RAG, agents and prompting. * Databricks feels like home to you, or you bring deep experience with a major cloud provider (AWS, GCP or others). Bring your own ideas and learnings in: we will listen.
NEU
){kind=logo}
Deep understanding of harness design, connectors, shielding, routing rules, termination methods, testing, and integration. * Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
Deep understanding of harness design, connectors, shielding, routing rules, termination methods, testing, and integration. * Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
(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.
){kind=logo}
Deep understanding of the semiconductor industry or a comparable technology-intensive sector. * Benefit from a culture that values flexibility, personal growth and continuous learning.
Deep understanding of the semiconductor industry or a comparable technology-intensive sector. * Benefit from a culture that values flexibility, personal growth and continuous learning.
NEU
){kind=logo}
Evangelize AI-driven development tools, optimize workflows utilizing machine learning, and foster an innovative culture that builds intelligence natively into platform capabilities. Deep familiarity with modern model workflows and Common Data Environment (CDE) integrations is highly preferred.
Evangelize AI-driven development tools, optimize workflows utilizing machine learning, and foster an innovative culture that builds intelligence natively into platform capabilities. Deep familiarity with modern model workflows and Common Data Environment (CDE) integrations is highly preferred.
){kind=logo}
Synthesize startup learnings and mentor feedback into structured reports for participants and clients * Approaches challenge in a proactive, innovative manner, combined with resilience and a deep passion for supporting startups and fostering global innovation * Bonus: Practical experience in deep-tech, scaling, or fundraising programs
Synthesize startup learnings and mentor feedback into structured reports for participants and clients * Approaches challenge in a proactive, innovative manner, combined with resilience and a deep passion for supporting startups and fostering global innovation * Bonus: Practical experience in deep-tech, scaling, or fundraising programs