Als Senior AI Software Engineer (m/w/d) entwickeln Sie modernste KI- und Deep-Learning-Verfahren für die Analyse von Multi-View-Röntgen- und CT-Daten. * Entwicklung innovativer KI- und Deep-Learning-Algorithmen zur Objekterkennung in Multi-View-Röntgen- und CT-Daten mit Schwerpunkt auf 3D DeepLearning * Mehrjährige Berufserfahrung im Bereich DeepLearning (PyTorch, Tensorflow), idealerweise für volumetrische Daten (3D) oder Röntgenbilder
Als Senior AI Software Engineer (m/w/d) entwickeln Sie modernste KI- und Deep-Learning-Verfahren für die Analyse von Multi-View-Röntgen- und CT-Daten. * Entwicklung innovativer KI- und Deep-Learning-Algorithmen zur Objekterkennung in Multi-View-Röntgen- und CT-Daten mit Schwerpunkt auf 3D DeepLearning * Mehrjährige Berufserfahrung im Bereich DeepLearning (PyTorch, Tensorflow), idealerweise für volumetrische Daten (3D) oder Röntgenbilder
Konzeption, Entwicklung und Weiterentwicklung moderner Machine Learning-,DeepLearning- und statistischer Modelle für geschäftskritische Fragestellungen mit hohem strategischem Impact * Transfer wissenschaftlicher Erkenntnisse aus Machine Learning,DeepLearning, Statistik und Optimierung in robuste, produktionsreife Anwendungen * Mehrjährige Berufserfahrung als Data Scientist (w/m/d), Machine LearningEngineer (w/m/d) oder im Bereich Advanced Analytics, idealerweise mit Fokus auf Marketing, Customer Analytics oder datengetriebene Geschäftsmodelle - Unsere agilen Data Analytics Teams setzen modernste Machine Learning und KI-Methoden ein, um Prozesse zu optimieren, faire Preise zu berechnen, Schäden digital und intelligent zu steuern und um neue, innovative Versicherungsprodukte zu entwickeln. Werde Teil unserer großen Data-Community, entwickle gemeinsam mit vielen weiteren, erfahrenen ...
Konzeption, Entwicklung und Weiterentwicklung moderner Machine Learning-,DeepLearning- und statistischer Modelle für geschäftskritische Fragestellungen mit hohem strategischem Impact * Transfer wissenschaftlicher Erkenntnisse aus Machine Learning,DeepLearning, Statistik und Optimierung in robuste, produktionsreife Anwendungen * Mehrjährige Berufserfahrung als Data Scientist (w/m/d), Machine LearningEngineer (w/m/d) oder im Bereich Advanced Analytics, idealerweise mit Fokus auf Marketing, Customer Analytics oder datengetriebene Geschäftsmodelle - Unsere agilen Data Analytics Teams setzen modernste Machine Learning und KI-Methoden ein, um Prozesse zu optimieren, faire Preise zu berechnen, Schäden digital und intelligent zu steuern und um neue, innovative Versicherungsprodukte zu entwickeln. Werde Teil unserer großen Data-Community, entwickle gemeinsam mit vielen weiteren, erfahrenen ...
Tiefgehende Kenntnisse in der Entwicklung mit Python und Machine-Learning- / Deep-Learning-Frameworks in Kundenprojekten - Verstärken Sie unser Team als System Engineer – Data Science (m/w/d) an einem unserer Standorte deutschlandweit. * Zur Beantwortung konkreter betriebswirtschaftlicher Fragestellungen setzen Sie klassische Machine-Learning-Methoden sowie statistische Verfahren ein, beispielsweise in den Bereichen Zeitreihenanalyse, Forecasting oder Predictive Maintenance. + klassisches Machine-Learning- und statistische Verfahren auf Business-Probleme
Tiefgehende Kenntnisse in der Entwicklung mit Python und Machine-Learning- / Deep-Learning-Frameworks in Kundenprojekten - Verstärken Sie unser Team als System Engineer – Data Science (m/w/d) an einem unserer Standorte deutschlandweit. * Zur Beantwortung konkreter betriebswirtschaftlicher Fragestellungen setzen Sie klassische Machine-Learning-Methoden sowie statistische Verfahren ein, beispielsweise in den Bereichen Zeitreihenanalyse, Forecasting oder Predictive Maintenance. + klassisches Machine-Learning- und statistische Verfahren auf Business-Probleme
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.
Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. * Mentor and support engineers through knowledge sharing, pair programming, and technical coaching - 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. * Expert-level prompt engineering skills (e.g., few-shot learning, prompt chaining, context optimization) * Adaptability and continuous learning mindset within evolving SAP AI landscapes - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. * Mentor and support engineers through knowledge sharing, pair programming, and technical coaching - 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. * Expert-level prompt engineering skills (e.g., few-shot learning, prompt chaining, context optimization) * Adaptability and continuous learning mindset within evolving SAP AI landscapes - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
We achieve this through continuous innovation, team spirit, and a deep-rooted passion for the industry. We are looking for a passionate Azure Cloud Engineer / SRE to join our R&D Software team. Growth & Development // Structured & inspiring onboarding process, hands-on training, access to Busuu, Allegion Academy & LinkedIn Learning, mentoring on development and career paths
We achieve this through continuous innovation, team spirit, and a deep-rooted passion for the industry. We are looking for a passionate Azure Cloud Engineer / SRE to join our R&D Software team. Growth & Development // Structured & inspiring onboarding process, hands-on training, access to Busuu, Allegion Academy & LinkedIn Learning, mentoring on development and career paths
As a Machine LearningEngineer 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 LearningEngineers and report directly to the ML Retail Team Lead. * Proven experience as a Machine LearningEngineer (mid–senior), working with end‑to‑end ML systems in production. 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. * Continuous Learning, access to language courses and tailored development programs.
As a Machine LearningEngineer 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 LearningEngineers and report directly to the ML Retail Team Lead. * Proven experience as a Machine LearningEngineer (mid–senior), working with end‑to‑end ML systems in production. 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. * Continuous Learning, access to language courses and tailored development programs.
As a (Senior) SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. * Mentor and support engineers through knowledge sharing, pair programming, and technical coaching - 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. * Strong prompt engineering skills (e.g., few-shot learning, prompt chaining, context optimization) * Adaptability and continuous learning mindset within evolving SAP AI landscapes - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
As a (Senior) SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. * Mentor and support engineers through knowledge sharing, pair programming, and technical coaching - 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. * Strong prompt engineering skills (e.g., few-shot learning, prompt chaining, context optimization) * Adaptability and continuous learning mindset within evolving SAP AI landscapes - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
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.
Entwicklung und Bewertung von AI‑Bildanalyseverfahren (z. B. DeepLearning, Segmentierung) * Mehrjährige Berufserfahrung in Computer Vision, Medical Imaging oder DeepLearning
Entwicklung und Bewertung von AI‑Bildanalyseverfahren (z. B. DeepLearning, Segmentierung) * Mehrjährige Berufserfahrung in Computer Vision, Medical Imaging oder DeepLearning
Define the research agenda for a small squad of research scientists and engineers 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.
Define the research agenda for a small squad of research scientists and engineers 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.
Entwicklung intelligenter Object-Detection-Algorithmen mittels DeepLearning - Start: ab sofort- Einen spannenden Entwicklungsjob in einem schnell wachsenden Deep-Tech-Startup mit vielen Möglichkeiten zur persönlichen und beruflichen Weiterentwicklung
Entwicklung intelligenter Object-Detection-Algorithmen mittels DeepLearning - Start: ab sofort- Einen spannenden Entwicklungsjob in einem schnell wachsenden Deep-Tech-Startup mit vielen Möglichkeiten zur persönlichen und beruflichen Weiterentwicklung
We actively support learning on the job, knowledge sharing, mentoring and structured onboarding to give you a solid foundation and a long-term perspective * Deep technical expert in software and firmware development
We actively support learning on the job, knowledge sharing, mentoring and structured onboarding to give you a solid foundation and a long-term perspective * Deep technical expert in software and firmware development
We're looking for an experienced Senior Sales Engineer to join our Public Sector Sales Engineering team in Germany. * Deep technical expertise in Network Security and Cloud, including architecture-level understanding, relevant security controls/use cases, and integration into customer environments * High learning agility: quickly ramps up on new topics (e.g., AI / AI security) and turns them into relevant use cases and clear customer-facing positioning
We're looking for an experienced Senior Sales Engineer to join our Public Sector Sales Engineering team in Germany. * Deep technical expertise in Network Security and Cloud, including architecture-level understanding, relevant security controls/use cases, and integration into customer environments * High learning agility: quickly ramps up on new topics (e.g., AI / AI security) and turns them into relevant use cases and clear customer-facing positioning
Du verstehst, was ein guter Machine-Learning-Engineer, Data Scientist, C++/Unreal-Developer, DevOps Engineer oder Solution Architect fachlich leisten muss und kannst entsprechende Kandidaten realistisch einschätzen. * Mehrjährige Erfahrung im Tech Recruiting, idealerweise in einem Software-, KI-, Data-, Cyber-, Defence-Tech- oder Deep-Tech-Umfeld * Gutes Verständnis technischer Rollen bei KI, Machine Learning, Data Engineering, Softwareentwicklung, DevOps, Simulation, Embedded/Edge oder Systemarchitektur * Mitarbeit in einem Deep-Tech-Scaleup der nächsten Generation KI
Du verstehst, was ein guter Machine-Learning-Engineer, Data Scientist, C++/Unreal-Developer, DevOps Engineer oder Solution Architect fachlich leisten muss und kannst entsprechende Kandidaten realistisch einschätzen. * Mehrjährige Erfahrung im Tech Recruiting, idealerweise in einem Software-, KI-, Data-, Cyber-, Defence-Tech- oder Deep-Tech-Umfeld * Gutes Verständnis technischer Rollen bei KI, Machine Learning, Data Engineering, Softwareentwicklung, DevOps, Simulation, Embedded/Edge oder Systemarchitektur * Mitarbeit in einem Deep-Tech-Scaleup der nächsten Generation KI
At ALAIKA, we are building the future of Financial Services with a bold vision: to become the most specialized Enterprise Financial Services advisory & investment firm in the industry by coupling Fortune 500 board room access, the deepest Financial Services domain expertise with a global Venture Capital & Equity network. Founded in October 2022 by Johanna von Geyr (the Financial Services Practice Lead Partner of a leading NASDAQ listed strategy consultancy) and Harald Braunstein (builder/investor of multiple leading international software companies) & an all-star team, we bring together the best of both worlds: deep functional domain expertise and networks in global Financial Services, along with a proven track record in how to build and invest in leading software product companies. * IP Development: Take ownership of key IP areas (e.g., Data Analytics, Machine Learning, ...
At ALAIKA, we are building the future of Financial Services with a bold vision: to become the most specialized Enterprise Financial Services advisory & investment firm in the industry by coupling Fortune 500 board room access, the deepest Financial Services domain expertise with a global Venture Capital & Equity network. Founded in October 2022 by Johanna von Geyr (the Financial Services Practice Lead Partner of a leading NASDAQ listed strategy consultancy) and Harald Braunstein (builder/investor of multiple leading international software companies) & an all-star team, we bring together the best of both worlds: deep functional domain expertise and networks in global Financial Services, along with a proven track record in how to build and invest in leading software product companies. * IP Development: Take ownership of key IP areas (e.g., Data Analytics, Machine Learning, ...
Sie entwickeln Prototypen für KI-Anwendungen, testen diese gemeinsam mit den Nutzern, werten die Ergebnisse aus und entwickeln die Lösungen weiter, bis sie produktiv nutzbar sind. * Sie integrieren Large Language Models (LLMs) in produktive Services und entwickeln leistungsfähige sowie robuste KI-Anwendungen. * Sie entwickeln agentenbasierte KI-Lösungen, die komplexe Geschäftsprozesse unterstützen und automatisieren. * Ihre Aufgabe umfasst die kontinuierliche Beobachtung technologischer Entwicklungen im KI-Umfeld, insbesondere in den Bereichen Data Science, NLP, Transformers und agentenbasierte KI. * KNDS * München * Feste Anstellung * Vollzeit - Sei einer der ersten Bewerber - Unternehmensbeschreibung - KNDS Deutschland entwickelt, fertigt und betreut als Systemhaus ein breit gestreutes Produktportfolio. Dazu zählen Kampfpanzer, hochgeschützte Radfahrzeuge, Artilleriesysteme, Militärbrücken, Kundenservice sowie ...
Sie entwickeln Prototypen für KI-Anwendungen, testen diese gemeinsam mit den Nutzern, werten die Ergebnisse aus und entwickeln die Lösungen weiter, bis sie produktiv nutzbar sind. * Sie integrieren Large Language Models (LLMs) in produktive Services und entwickeln leistungsfähige sowie robuste KI-Anwendungen. * Sie entwickeln agentenbasierte KI-Lösungen, die komplexe Geschäftsprozesse unterstützen und automatisieren. * Ihre Aufgabe umfasst die kontinuierliche Beobachtung technologischer Entwicklungen im KI-Umfeld, insbesondere in den Bereichen Data Science, NLP, Transformers und agentenbasierte KI. * KNDS * München * Feste Anstellung * Vollzeit - Sei einer der ersten Bewerber - Unternehmensbeschreibung - KNDS Deutschland entwickelt, fertigt und betreut als Systemhaus ein breit gestreutes Produktportfolio. Dazu zählen Kampfpanzer, hochgeschützte Radfahrzeuge, Artilleriesysteme, Militärbrücken, Kundenservice sowie ...
Whether it's AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world's most ambitious companies experiment, scale, and grow without limits. You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. * The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability * commercetools GmbH * München, Bayern, Germany (Hybrid) * Feste Anstellung * Vollzeit - About commercetools
Whether it's AI-driven solutions that help enterprises make smarter business decisions, bridging digital and physical shopping experiences, or enabling entirely new ways for industries to connect with their customers, we help the world's most ambitious companies experiment, scale, and grow without limits. You own AI capabilities end-to-end: from the data and context that feed a model, through agent orchestration, to the generative UI a user sees and trusts. You're not a research scientist; you wield models and engineer ruthlessly around their uncertainty. * The AI spine: prompt/context engineering, agents, tool use, structured outputs, evals, MCP Python and TypeScript/Node + React; comfortable with async, streaming, and observability * commercetools GmbH * München, Bayern, Germany (Hybrid) * Feste Anstellung * Vollzeit - About commercetools
Berlin, Hamburg, Frankfurt am Main, Düsseldorf, München, Stuttgart
Teilweise Home-Office
Als globaler Full Service Provider bieten wir unseren Kunden das gesamte Portfolio aus IT- und Web-Dienstleistungen: Von der initialen Idee bis hin zum Betrieb - wir entwickeln Software, designen Architekturen und bringen Lösungen in die Cloud, unterstützen in Kreativthemen oder beim Hosting. * Softwareentwicklung: Du befolgst standardmäßige Softwareentwicklungspraktiken (Versionskontrolle, Tests, DevOps), programmierst konversationelle Benutzeroberflächen, stellst APIs für die Integration bereit und stellst Verbindungen mit anderen APIs her. * Du bringst mindestens fünf Jahre Berufserfahrung in der Softwareentwicklung sowie praktische Erfahrungen im Bereich generative KI, Machine Learning oder datengetriebenen Projekten mit. * Du planst Architektur und Software vorausschauend, um Automatisierung, Stabilität und Wartungsfreundlichkeit zu gewährleisten. * PRODYNA SE
Als globaler Full Service Provider bieten wir unseren Kunden das gesamte Portfolio aus IT- und Web-Dienstleistungen: Von der initialen Idee bis hin zum Betrieb - wir entwickeln Software, designen Architekturen und bringen Lösungen in die Cloud, unterstützen in Kreativthemen oder beim Hosting. * Softwareentwicklung: Du befolgst standardmäßige Softwareentwicklungspraktiken (Versionskontrolle, Tests, DevOps), programmierst konversationelle Benutzeroberflächen, stellst APIs für die Integration bereit und stellst Verbindungen mit anderen APIs her. * Du bringst mindestens fünf Jahre Berufserfahrung in der Softwareentwicklung sowie praktische Erfahrungen im Bereich generative KI, Machine Learning oder datengetriebenen Projekten mit. * Du planst Architektur und Software vorausschauend, um Automatisierung, Stabilität und Wartungsfreundlichkeit zu gewährleisten. * PRODYNA SE
Was ist das Durchschnittsgehalt für Deep Learning Engineer in Ostbayern?
Durchschnittsgehalt pro Jahr
59.200 €
Das Durchschnittsgehalt für Deep Learning Engineer in Ostbayern liegt bei 59.200 €. Gehälter für Deep Learning Engineer in Ostbayern liegen im Bereich zwischen 49.200 € und 68.500 €.
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