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16 Treffer für Machine Learning Developer Jobs in Bayern im Umkreis von 30 km
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You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
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Senior Data Engineer* / Machine Learning Engineer*
Senior Data Engineer* / Machine Learning Engineer*
inovex GmbH
Karlsruhe, Köln, München, Hamburg, Stuttgart, Berlin, Erlangen
Teilweise Home-Office
Als Senior Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. * Du bist Expert:in für die Ende-zu-Ende-Integration von Daten- / ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme.
Als Senior Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. * Du bist Expert:in für die Ende-zu-Ende-Integration von Daten- / ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme.
You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle. Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms.
Data Engineer* / Machine Learning Engineer*
Data Engineer* / Machine Learning Engineer*
inovex GmbH
Karlsruhe, Köln, München, Hamburg, Stuttgart, Berlin, Erlangen
Teilweise Home-Office
Als Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. * Du bist Expert:in für die Ende-zu-Ende-Integration von Daten-/ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme.
Als Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. * Du bist Expert:in für die Ende-zu-Ende-Integration von Daten-/ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. * Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. * Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
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Snowflake Data Engineer (all genders)
Snowflake Data Engineer (all genders)
adesso SE
Augsburg, Karlsruhe, Koblenz, München, Nürnberg, Saarbrücken, Stuttgart, Ulm, Walldorf
Anschreiben nicht erforderlich
adesso SE * Augsburg, Karlsruhe, Koblenz, München, Nürnberg, Saarbrücken, Stuttgart, Ulm, Walldorf * Feste Anstellung * Vollzeit - Anschreiben nicht erforderlich - adesso steht für IT-Exzellenz und damit auch für exzellente Entwicklungsmöglichkeiten für alle adessi. Wir wachsen gemeinsam und lernen voneinander - an unseren Projekten, im Team und mit herausragenden Trainingsangeboten. Wir haben IT im Herzen, die Branche im Blick und den Erfolg unserer Kunden im Sinn. Denn erfolgreiches Geschäft entsteht durch innovative Ideen, zukunftsfähige Strategien und kluge IT-Lösungen. Immer sind dabei Menschen beteiligt, die etwas bewegen wollen und das einfach machen. Wir gestalten und bauen Software, die unsere Kunden begeistert. In Projekten, die uns fordern. Und das in einem Umfeld, das uns Spaß macht, in der Erfolg gemeinsam entsteht und sich alle wohlfühlen.
adesso SE * Augsburg, Karlsruhe, Koblenz, München, Nürnberg, Saarbrücken, Stuttgart, Ulm, Walldorf * Feste Anstellung * Vollzeit - Anschreiben nicht erforderlich - adesso steht für IT-Exzellenz und damit auch für exzellente Entwicklungsmöglichkeiten für alle adessi. Wir wachsen gemeinsam und lernen voneinander - an unseren Projekten, im Team und mit herausragenden Trainingsangeboten. Wir haben IT im Herzen, die Branche im Blick und den Erfolg unserer Kunden im Sinn. Denn erfolgreiches Geschäft entsteht durch innovative Ideen, zukunftsfähige Strategien und kluge IT-Lösungen. Immer sind dabei Menschen beteiligt, die etwas bewegen wollen und das einfach machen. Wir gestalten und bauen Software, die unsere Kunden begeistert. In Projekten, die uns fordern. Und das in einem Umfeld, das uns Spaß macht, in der Erfolg gemeinsam entsteht und sich alle wohlfühlen.
Noch nichts dabei? Es gibt 8 weitere Jobs, die zu deiner Suche passen könnten
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. * You stay abreast of cutting-edge machine learning research and selectively translate promising developments into robust, scalable industrial applications on advanced automotive hardware. * 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.
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. * You stay abreast of cutting-edge machine learning research and selectively translate promising developments into robust, scalable industrial applications on advanced automotive hardware. * 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.
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. * You stay abreast of cutting-edge machine learning research and selectively translate promising developments into robust, scalable industrial applications on advanced automotive hardware. * Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations.
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. * You stay abreast of cutting-edge machine learning research and selectively translate promising developments into robust, scalable industrial applications on advanced automotive hardware. * Comprehensive expertise in modern machinelearning methods, including deep learning, multimodal models, end-to-end learning and transformer architectures, combined with a realistic understanding of their practical limitations.
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Erfahrung mit CUDA sowie dem Einsatz von Frameworks zum Machine Learning sowie der Künstlichen Intelligenz - Als Software Developer Payload Management (m/w/d) sind Sie zuständig für die Konzeption, Implementierung und den Test von Nutzlastmanagement unbemannter Systeme.
Erfahrung mit CUDA sowie dem Einsatz von Frameworks zum Machine Learning sowie der Künstlichen Intelligenz - Als Software Developer Payload Management (m/w/d) sind Sie zuständig für die Konzeption, Implementierung und den Test von Nutzlastmanagement unbemannter Systeme.
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Full Stack Developer (d/m/w) - IT-Security & Firewall
Full Stack Developer (d/m/w) - IT-Security & Firewall
genua GmbH
Kirchheim bei München, Berlin
Teilweise Home-Office
Unser Anspruch: Als Vordenker die Entwicklung der IT-Sicherheitstechnologie maßgeblich mitzugestalten – insbesondere im Kontext aktueller und zukünftiger Handlungsfelder wie KI, Machine Learning oder Post-Quantum Kryptografie.
Unser Anspruch: Als Vordenker die Entwicklung der IT-Sicherheitstechnologie maßgeblich mitzugestalten – insbesondere im Kontext aktueller und zukünftiger Handlungsfelder wie KI, Machine Learning oder Post-Quantum Kryptografie.
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Provide technical leadership and guidance on Artificial Intelligence – Machine Learning, Generative AI, Agentic AI * Design and implement AI automation solutions that enhance delivery workflows and improve developer productivity across the organization - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Provide technical leadership and guidance on Artificial Intelligence – Machine Learning, Generative AI, Agentic AI * Design and implement AI automation solutions that enhance delivery workflows and improve developer productivity across the organization - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions. * Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies. * Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.
Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions. * Practical experience in machine learning or generative AI (e.g., Jupyter, PyTorch, TensorFlow, SageMaker, LangChain, Haystack) together with knowledge in modern programming languages (Python, Java, or Go) and API technologies. * Moreover, you engage in the BMW AI Community, share best practices, and promote a positive developer experience.
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SAP Integration-Entwickler (m/w/d) Fokus: SAP CPI
SAP Integration-Entwickler (m/w/d) Fokus: SAP CPI
Computer Futures
Hamburg, Hannover, Berlin, Stuttgart, Köln, Düsseldorf, München, Frankfurt
Teilweise Home-Office
Technologische Vielfalt – von SAP S/4HANA über SAP Cloud Platform bis hin zu Themen wie KI, Machine Learning und Automatisierung - Aktuell suchen wir einen erfahrenen SAP Integration-Developer, der das bestehende Team bei der Konzeption und Umsetzung moderner Integrationslösungen unterstützt. * Individuelle Weiterentwicklung durch Schulungen, Zertifizierungen & SAP Learning Hub
Technologische Vielfalt – von SAP S/4HANA über SAP Cloud Platform bis hin zu Themen wie KI, Machine Learning und Automatisierung - Aktuell suchen wir einen erfahrenen SAP Integration-Developer, der das bestehende Team bei der Konzeption und Umsetzung moderner Integrationslösungen unterstützt. * Individuelle Weiterentwicklung durch Schulungen, Zertifizierungen & SAP Learning Hub
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Schnelle Bewerbung
Kenntnisse in Machine Learning, Agentic AI, Reinforcement Learning, Graph Neural Networks - Als AI Software Developer entwickelst du intelligente Anwendungen und Plattformen auf Basis modernster KI-Technologien. Du arbeitest an Projekten, die Agentic AI, Reinforcement Learning, Graph Neural Networks und moderne Frontend-Frameworks kombinieren, um innovative Lösungen für unsere Kunden zu schaffen. * Implementierung von Reinforcement-Learning-Modellen (z. B. Stable Baselines, RLlib)
Kenntnisse in Machine Learning, Agentic AI, Reinforcement Learning, Graph Neural Networks - Als AI Software Developer entwickelst du intelligente Anwendungen und Plattformen auf Basis modernster KI-Technologien. Du arbeitest an Projekten, die Agentic AI, Reinforcement Learning, Graph Neural Networks und moderne Frontend-Frameworks kombinieren, um innovative Lösungen für unsere Kunden zu schaffen. * Implementierung von Reinforcement-Learning-Modellen (z. B. Stable Baselines, RLlib)
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Mindestens 8 Jahre relevante Berufserfahrung in der Softwareentwicklung, vorzugsweise mit Fokus auf Softwarearchitektur, idealerweise in der Rolle als Lead Developer oder Senior Software Engineer * Übernahme der technischen und architektonischen Verantwortung für KI-bezogene Softwareentwicklungsprojekte innerhalb der digitalen Teams * Befähigung der Teams, moderne KI-gestützte Methoden in der Softwareentwicklung effektiv einzusetzen * Beobachtung und Bewertung aktueller Trends (z. B. Cloud, DevOps, KI in der Softwareentwicklung) und Ableitung von Empfehlungen für deren praktische Umsetzung in Softwarearchitekturen und Entwicklungsrichtlinien * Fundierte Kenntnisse moderner, KI-basierter Softwareentwicklungsmethoden und Architekturansätze, einschließlich Testautomatisierung und Secure Software Development * TÜV SÜD * München * Feste Anstellung * Homeoffice möglich, Vollzeit - Sei einer der ersten Bewerber
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Am Standort München suchen wir Sie als Senior AI Model Developer (f/m/x) * At least five years of professional experience in developing, deploying, and maintaining AI/ML models in a business or industrial setting. * Design, development, training, validation, and continuous optimisation of ML models for production-grade automotive use cases, covering the full lifecycle from initial prototype to long-term operation. * Hands-on work with large-scale, heterogeneous engineering, vehicle, and business data, transforming complex data landscapes into robust, high-performing models. * End-to-end ownership of model performance, robustness, explainability, and lifecycle management in real-world business environments. * Deployment of models into productive systems, including operational monitoring and iterative improvement based on real-world feedback and performance metrics.
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Senior Algorithm Engineer - Biosignals & Machine Learning (m/w/d)
Senior Algorithm Engineer - Biosignals & Machine Learning (m/w/d)
corpuls - GS Elektromedizinische Geräte G. Stemple
München
Teilweise Home-Office
Anschreiben nicht erforderlich
Für unseren Standort in München suchen wir zum nächstmöglichen Zeitpunkt einen/eine Senior Algorithm Engineer – Biosignals & Machine Learning, der/die eine Schlüsselrolle bei der Entwicklung unserer Signalverarbeitungs‑ und Machine‑Learning‑Algorithmen für physiologische Daten übernimmt. * corpuls - GS Elektromedizinische Geräte G. Stemple * München * Feste Anstellung * Homeoffice möglich, Vollzeit - Sei einer der ersten Bewerber - Anschreiben nicht erforderlich - Schnelle Bewerbung - Seit 1982 entwickelt und fertigt die GS Elektromedizinische Geräte GmbH innovative High-End-Geräte für die Notfall- und Intensivmedizin. Die unter dem Namen corpuls vertriebenen Systeme und Lösungen sind weltweit in über 75 Ländern im täglichen Einsatz. In unserem Firmensitz in Kaufering bei München schlagen inzwischen über 600 Herzen für die höchsten Ansprüche der Lebensretter.
Für unseren Standort in München suchen wir zum nächstmöglichen Zeitpunkt einen/eine Senior Algorithm Engineer – Biosignals & Machine Learning, der/die eine Schlüsselrolle bei der Entwicklung unserer Signalverarbeitungs‑ und Machine‑Learning‑Algorithmen für physiologische Daten übernimmt. * corpuls - GS Elektromedizinische Geräte G. Stemple * München * Feste Anstellung * Homeoffice möglich, Vollzeit - Sei einer der ersten Bewerber - Anschreiben nicht erforderlich - Schnelle Bewerbung - Seit 1982 entwickelt und fertigt die GS Elektromedizinische Geräte GmbH innovative High-End-Geräte für die Notfall- und Intensivmedizin. Die unter dem Namen corpuls vertriebenen Systeme und Lösungen sind weltweit in über 75 Ländern im täglichen Einsatz. In unserem Firmensitz in Kaufering bei München schlagen inzwischen über 600 Herzen für die höchsten Ansprüche der Lebensretter.
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