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                          36 Treffer für Deep Learning Engineer Jobs in Süddeutschland im Umkreis von 30 km

                          Noch nichts dabei? Es gibt 36 weitere Jobs, die zu deiner Suche passen könnten

                          (Senior) Applied Scientist (Machine Learning) (w/m/d)

                          HUK-COBURG Versicherungsgruppe
                          Coburg
                          Konzeption, Entwicklung und Weiterentwicklung moderner Machine Learning-, Deep Learning- und statistischer Modelle für geschäftskritische Fragestellungen mit hohem strategischem Impact * Transfer wissenschaftlicher Erkenntnisse aus Machine Learning, Deep Learning, Statistik und Optimierung in robuste, produktionsreife Anwendungen * Mehrjährige Berufserfahrung als Data Scientist (w/m/d), Machine Learning Engineer (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-, Deep Learning- und statistischer Modelle für geschäftskritische Fragestellungen mit hohem strategischem Impact * Transfer wissenschaftlicher Erkenntnisse aus Machine Learning, Deep Learning, Statistik und Optimierung in robuste, produktionsreife Anwendungen * Mehrjährige Berufserfahrung als Data Scientist (w/m/d), Machine Learning Engineer (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 ...
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                          Bei der Auswahl, Entwicklung und Integration neuester Technologien wie GenAI und Deep Learning unterstützt du aktiv in laufenden Kundenprojekten. * Als Werkstudent (d/m/w/x) übernimmst du die Erstellung, Verfeinerung und das Management von Machine-Learning-Pipelines. * Zudem entwickelst und optimierst du Big-Data-Pipelines für Machine-Learning-Anwendungen und unterstützt den Betrieb von Machine-Learning-Umgebungen in der Cloud. * Zudem hast du Kenntnisse im Machine Learning und du konntest bereits erste Erfahrungen im Cloud-Umfeld (Azure, AWS oder Kubernetes) sammeln. * Darüber hinaus kennst du dich mit mit Machine-Learning-Umgebungen wie Databricks oder Azure ML aus.
                          Bei der Auswahl, Entwicklung und Integration neuester Technologien wie GenAI und Deep Learning unterstützt du aktiv in laufenden Kundenprojekten. * Als Werkstudent (d/m/w/x) übernimmst du die Erstellung, Verfeinerung und das Management von Machine-Learning-Pipelines. * Zudem entwickelst und optimierst du Big-Data-Pipelines für Machine-Learning-Anwendungen und unterstützt den Betrieb von Machine-Learning-Umgebungen in der Cloud. * Zudem hast du Kenntnisse im Machine Learning und du konntest bereits erste Erfahrungen im Cloud-Umfeld (Azure, AWS oder Kubernetes) sammeln. * Darüber hinaus kennst du dich mit mit Machine-Learning-Umgebungen wie Databricks oder Azure ML aus.
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                          TTI's powerful brand portfolio includes MILWAUKEE®, RYOBI®, AEG® – recognized worldwide for their deep heritage and innovative product platforms of superior quality. * Learning platforms such as “GoodHabitz” and “Learn TTI” for your professional development
                          TTI's powerful brand portfolio includes MILWAUKEE®, RYOBI®, AEG® – recognized worldwide for their deep heritage and innovative product platforms of superior quality. * Learning platforms such as “GoodHabitz” and “Learn TTI” for your professional development
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                          NEU
                          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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                          NEU
                          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.
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                          strong programming skills in Python and experience with modern deep learning frameworks (PyTorch, TensorFlow, JAX or others) in industrial real-world applications - As an AI research engineer at Bosch, you will exploit and advance the novel capabilities of cutting-edge Large Language Models (LLMs) towards building multi-agent AI systems that solve and optimize complex engineering problems for software, hardware, and mechatronic systems. o PhD in Machine Learning, AI or Computational Linguistics + deep knowledge and experience with state-of-the-art LLMs, and their improvement via fine-tuning or advanced RAG mechanisms. + broad experience with modern machine learning methods and tools
                          strong programming skills in Python and experience with modern deep learning frameworks (PyTorch, TensorFlow, JAX or others) in industrial real-world applications - As an AI research engineer at Bosch, you will exploit and advance the novel capabilities of cutting-edge Large Language Models (LLMs) towards building multi-agent AI systems that solve and optimize complex engineering problems for software, hardware, and mechatronic systems. o PhD in Machine Learning, AI or Computational Linguistics + deep knowledge and experience with state-of-the-art LLMs, and their improvement via fine-tuning or advanced RAG mechanisms. + broad experience with modern machine learning methods and tools
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                          Lead applied research and PoC development for computer‑vision and deeplearning solutions. …...a senior machine learning engineer who brings passion, strong skills and experiences to shape innovative and successful product portfolios of tomorrow. * Strong background in computer vision and deep learning. * Experience: 5+ years in applied machine learning / computer vision.
                          Lead applied research and PoC development for computer‑vision and deeplearning solutions. …...a senior machine learning engineer who brings passion, strong skills and experiences to shape innovative and successful product portfolios of tomorrow. * Strong background in computer vision and deep learning. * Experience: 5+ years in applied machine learning / computer vision.
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                          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. * Deep understanding of IT security, data protection, and compliance requirements.
                          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. * Deep understanding of IT security, data protection, and compliance requirements.
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                          excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools * As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents. * You will shape and influence Bosch's technological development by assessing emerging machine learning technologies and providing strategic insights. * Last but not least, you will work within a dynamic AI department alongside machine learning experts, collaborating with globally to maximize business impact. * Education: excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models
                          excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools * As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents. * You will shape and influence Bosch's technological development by assessing emerging machine learning technologies and providing strategic insights. * Last but not least, you will work within a dynamic AI department alongside machine learning experts, collaborating with globally to maximize business impact. * Education: excellent MSc in Computer Science or related fields, PhD in Machine Learning with focus on Large Language Models, generative AI or foundation models
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                          Azure Cloud Engineer/ SRE (m/f/d)

                          SimonsVoss Technologies GmbH
                          Unterföhring bei München
                          Teilweise Home-Office
                          Anschreiben nicht erforderlich
                          Schnelle Bewerbung
                          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
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                          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. 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 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. 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.
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                          NEU
                          Du entwickelst und optimierst moderne Machine-Learning- und Deep-Learning-Modelle * Du leitest fachlich und disziplinarisch ein Team von ca. vier agilen Entwicklern (KI- und Software Engineers) * Du planst und führst Experimente zur Bewertung verschiedener Machine-Learning-Ansätze durch * Du beobachtest aktuelle Entwicklungen im Bereich künstliche Intelligenz und Machine Learning * Du hast umfangreiche Erfahrung mit Machine-Learning-Bibliotheken sowie KI-/ML-Frameworks
                          Du entwickelst und optimierst moderne Machine-Learning- und Deep-Learning-Modelle * Du leitest fachlich und disziplinarisch ein Team von ca. vier agilen Entwicklern (KI- und Software Engineers) * Du planst und führst Experimente zur Bewertung verschiedener Machine-Learning-Ansätze durch * Du beobachtest aktuelle Entwicklungen im Bereich künstliche Intelligenz und Machine Learning * Du hast umfangreiche Erfahrung mit Machine-Learning-Bibliotheken sowie KI-/ML-Frameworks
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                          We're looking for a Machine Learning Engineer (f/m/x) who enjoys working across disciplines and is eager to develop intelligent systems that make a real difference for our consumers. * Python Expert: You have deep proficiency in Python and are an advocate for clean code, design patterns, and modular architecture. * MLOps Tooling: You are familiar with (or eager to master) the ML lifecycle stack, such as MLflow, Kubeflow, or DVC, and you understand how to apply standard DevOps principles to the unique challenges of machine learning.
                          We're looking for a Machine Learning Engineer (f/m/x) who enjoys working across disciplines and is eager to develop intelligent systems that make a real difference for our consumers. * Python Expert: You have deep proficiency in Python and are an advocate for clean code, design patterns, and modular architecture. * MLOps Tooling: You are familiar with (or eager to master) the ML lifecycle stack, such as MLflow, Kubeflow, or DVC, and you understand how to apply standard DevOps principles to the unique challenges of machine learning.
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                          Am Standort München suchen wir Sie als Senior ML Engineer - Next-Generation Autonomous Driving (f/m/x) 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.
                          Am Standort München suchen wir Sie als Senior ML Engineer - Next-Generation Autonomous Driving (f/m/x) 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.
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                          Anschreiben nicht erforderlich
                          Entwicklung und Bewertung von AI‑Bildanalyseverfahren (z. B. Deep Learning, Segmentierung) * Mehrjährige Berufserfahrung in Computer Vision, Medical Imaging oder Deep Learning
                          Entwicklung und Bewertung von AI‑Bildanalyseverfahren (z. B. Deep Learning, Segmentierung) * Mehrjährige Berufserfahrung in Computer Vision, Medical Imaging oder Deep Learning
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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. It requires robust end-to-end machine learning systems that perform reliably across edge cases, ODD boundaries, and global market conditions. * You develop and industrialise end-to-end machine learning algorithms for ADAS functions. * Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches. * Degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications. * Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow. * Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets.
                          Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. It requires robust end-to-end machine learning systems that perform reliably across edge cases, ODD boundaries, and global market conditions. * You develop and industrialise end-to-end machine learning algorithms for ADAS functions. * Furthermore, you design and improve human-like driving behaviour using behaviour models, reinforcement learning, and hybrid data- and model-driven approaches. * Degree in Computer Science, Data Science, Machine Learning, Mathematics, Physics, or comparable qualifications. * Proven production experience with machine-learning frameworks such as PyTorch or TensorFlow. * Deep expertise in large-scale model development, including training, evaluation, error analysis, and optimisation across different ODDs and markets.
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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 work hand-in-hand with expert teams, applying your deep AI knowledge to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.
                          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 work hand-in-hand with expert teams, applying your deep AI knowledge to co-create cutting-edge ADAS products spanning L2 to L4 autonomous driving.
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                          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.
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                          As a Senior Production Engineer – Avionics, you are the technical authority and process owner for the assembly, testing, and industrialization of avionics and wiring harness components. * Deep understanding of harness design, connectors, shielding, routing rules, termination methods, testing, and integration. * Previous experience in a similar position as process engineer or assembly engineer * Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
                          As a Senior Production Engineer – Avionics, you are the technical authority and process owner for the assembly, testing, and industrialization of avionics and wiring harness components. * Deep understanding of harness design, connectors, shielding, routing rules, termination methods, testing, and integration. * Previous experience in a similar position as process engineer or assembly engineer * Individual learning allowance: Grow your skills with an individual learning budget granted after the probation period
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                          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.
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                          NEU
                          AMAI GmbH

                          Junior Machine Learning Engineer (m/w/d) · AMAI GmbH

                          AMAI GmbH
                          Karlsruhe
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Du unterstützt unser Team von erfahrenen Machine Learning Engineers bei der Entwicklung und Implementierung von KI-Lösungen. * Du wendest deine Kenntnisse in Machine Learning und Deep Learning an, um Modelle zu trainieren, zu evaluieren und zu optimieren. * Du hast erste Erfahrungen in der Entwicklung von Machine-Learning-Modellen und bist vertraut mit gängigen Frameworks wie TensorFlow, PyTorch oder Scikit-learn. * Ein Arbeitsumfeld, das sich ganz auf Machine Learning und AI konzentriert. Fachlicher Deep Dive
                          Du unterstützt unser Team von erfahrenen Machine Learning Engineers bei der Entwicklung und Implementierung von KI-Lösungen. * Du wendest deine Kenntnisse in Machine Learning und Deep Learning an, um Modelle zu trainieren, zu evaluieren und zu optimieren. * Du hast erste Erfahrungen in der Entwicklung von Machine-Learning-Modellen und bist vertraut mit gängigen Frameworks wie TensorFlow, PyTorch oder Scikit-learn. * Ein Arbeitsumfeld, das sich ganz auf Machine Learning und AI konzentriert. Fachlicher Deep Dive
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                          NEU
                          Most senior level technical customer service engineer with long-standing experience. * Has a deep understanding of service KPIs and actively takes measures to improve financial impact. At ZEISS, we offer a wide range of professional development opportunities, including qualification programs, the internal online learning platform CurioZ, external training courses, and attractive career paths.
                          Most senior level technical customer service engineer with long-standing experience. * Has a deep understanding of service KPIs and actively takes measures to improve financial impact. At ZEISS, we offer a wide range of professional development opportunities, including qualification programs, the internal online learning platform CurioZ, external training courses, and attractive career paths.
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                          set - software engineering gmbh

                          Cloud Data Center Specialist Platform Engineer (m/w/d)

                          set - software engineering gmbh
                          Nürnberg
                          Teilweise Home-Office
                          Schnelle Bewerbung
                          Konzeption und Betrieb leistungsfähiger GPU-Infrastrukturen für datenintensive Anwendungen und KI-/Deep-Learning-Szenarien
                          Konzeption und Betrieb leistungsfähiger GPU-Infrastrukturen für datenintensive Anwendungen und KI-/Deep-Learning-Szenarien
                          mehr
                          NEU
                          Erfahrung in der Verwendung eines oder mehrerer Machine- und Deep-Learning-Frameworks - Als Data Scientist treibst Du mit einem motivierten und agilen Team aus Data Engineers, Data Analysts und Data Product Ownern die Wertmaximierung eines Datenprodukts entlang des kompletten Produktlebenszyklus voran. * Die Anwendung statistischer Methoden (spez. Machine Learning) auf Daten, um komplexe Muster in Daten zu identifizieren und Vorhersagen abzuleiten * Die Erstellung von Machine-Learning Modellen und die Anwendung geeigneter Metriken zur Messung und Überwachung der Modelle * Die Formulierung von Anforderungen an eine notwendige Datenbasis, um zur Operationalisierung von Machine-Learning Diensten und -Systemen beizutragen * Sehr gute Kenntnisse in der Auswahl, Anwendung und Optimierung von Machine Learning Methoden zur Generierung von datenbasierten Vorhersagen und Entscheidungen
                          Erfahrung in der Verwendung eines oder mehrerer Machine- und Deep-Learning-Frameworks - Als Data Scientist treibst Du mit einem motivierten und agilen Team aus Data Engineers, Data Analysts und Data Product Ownern die Wertmaximierung eines Datenprodukts entlang des kompletten Produktlebenszyklus voran. * Die Anwendung statistischer Methoden (spez. Machine Learning) auf Daten, um komplexe Muster in Daten zu identifizieren und Vorhersagen abzuleiten * Die Erstellung von Machine-Learning Modellen und die Anwendung geeigneter Metriken zur Messung und Überwachung der Modelle * Die Formulierung von Anforderungen an eine notwendige Datenbasis, um zur Operationalisierung von Machine-Learning Diensten und -Systemen beizutragen * Sehr gute Kenntnisse in der Auswahl, Anwendung und Optimierung von Machine Learning Methoden zur Generierung von datenbasierten Vorhersagen und Entscheidungen
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                          Was ist das Durchschnittsgehalt für Deep Learning Engineer in Süddeutschland?

                          Durchschnittsgehalt pro Jahr
                          59.200 €

                          Das Durchschnittsgehalt für Deep Learning Engineer in Süddeutschland liegt bei 59.200 €. Gehälter für Deep Learning Engineer in Süddeutschland liegen im Bereich zwischen 49.200 € und 68.500 €.