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5.135 Treffer für Deep Learning Jobs
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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.
NEU
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Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging
Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging
Deutsches Krebsforschungszentrum DKFZ
Heidelberg
Teilweise Home-Office
Experience in computer vision and deep learning Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports in the development of custom AI-powered solutions, and promotes robust evaluation and benchmarking practices for imaging algorithms. To strengthen our team, we are seeking, starting at the earliest date possible, a Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging. We are seeking a highly motivated individual to join an interdisciplinary team at the interface of natural language processing, computer vision, machine learning, and scientific imaging. * Staying at the forefront of developments in foundation models, agentic AI, and scientific machine learning * Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch
Experience in computer vision and deep learning Within HI, the Applied Computer Vision Lab (ACVL) at DKFZ develops state-of-the-art methods for image analysis and machine learning, supports in the development of custom AI-powered solutions, and promotes robust evaluation and benchmarking practices for imaging algorithms. To strengthen our team, we are seeking, starting at the earliest date possible, a Machine Learning Engineer – Language Models and Agentic AI for Scientific Imaging. We are seeking a highly motivated individual to join an interdisciplinary team at the interface of natural language processing, computer vision, machine learning, and scientific imaging. * Staying at the forefront of developments in foundation models, agentic AI, and scientific machine learning * Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch
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PhD position Untangling multi-property NMR signals in drug screening with data-driven neural networks 75% part-time
PhD position Untangling multi-property NMR signals in drug screening with data-driven neural networks 75% part-time
Karlsruher Institut für Technologie (KIT) Campus Nord
Eggenstein-Leopoldshafen
Teilweise Home-Office
Scalable deep learning methods for nuclear magnetic resonance * Prior experience with deep learning model development and training, or nuclear magnetic resonance methods - The team focuses particularly on the question of how machine learning can be made more robust and efficient to enable the use of such methods in complex and safety-critical application areas. * Self-supervised pre-training techniques and transfer learning approaches in Transformer-based architectures
Scalable deep learning methods for nuclear magnetic resonance * Prior experience with deep learning model development and training, or nuclear magnetic resonance methods - The team focuses particularly on the question of how machine learning can be made more robust and efficient to enable the use of such methods in complex and safety-critical application areas. * Self-supervised pre-training techniques and transfer learning approaches in Transformer-based architectures
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Datenanalyse-Methoden: Deep Learning, Artificial Neural Networks, Data Mining und Big Data. Egal ob autonomes Fahren, vernetzte Fahrzeuge, Data Analytics, App Entwicklung, Cyber Security oder Machine Learning – ohne dich läuft es nicht!
Datenanalyse-Methoden: Deep Learning, Artificial Neural Networks, Data Mining und Big Data. Egal ob autonomes Fahren, vernetzte Fahrzeuge, Data Analytics, App Entwicklung, Cyber Security oder Machine Learning – ohne dich läuft es nicht!
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.
NEU
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Bereitstellung von LLMs (z.B. vllm oder candle) sowie das Training von Deep Learning Modellen auf GPUs und den dafür relevanten Libraries und Frameworks sind für dich keine Fremdworte - Sie entwickeln Werkzeuge und Methoden, um KI-Techniken, insbesondere unter den Aspekten Big Data, Data Mining, Machine Learning und generativer KI weiter zu etablieren und damit die tägliche Arbeit der hessischen Steuerverwaltung zu unterstützen. * Du entwickelst und trainierst auf die realen Gegebenheiten der Finanzverwaltung zugeschnittene Machine Learning Modelle
Bereitstellung von LLMs (z.B. vllm oder candle) sowie das Training von Deep Learning Modellen auf GPUs und den dafür relevanten Libraries und Frameworks sind für dich keine Fremdworte - Sie entwickeln Werkzeuge und Methoden, um KI-Techniken, insbesondere unter den Aspekten Big Data, Data Mining, Machine Learning und generativer KI weiter zu etablieren und damit die tägliche Arbeit der hessischen Steuerverwaltung zu unterstützen. * Du entwickelst und trainierst auf die realen Gegebenheiten der Finanzverwaltung zugeschnittene Machine Learning Modelle
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Research Engineer - Large Language Models for Multi-agent Systems (f/m/div.)
Research Engineer - Large Language Models for Multi-agent Systems (f/m/div.)
Bosch Gruppe
Renningen
Teilweise Home-Office
strong programming skills in Python and experience with modern deep learning frameworks (PyTorch, TensorFlow, JAX or others) in industrial real-world applications - 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 - 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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Auswahl geeigneter Modell- und Architekturansätze (klassisches ML, Deep Learning, GenAI) * Mehrjährige praktische Erfahrung im Bereich Machine Learning / Deep Learning. Machine Learning & AI
Auswahl geeigneter Modell- und Architekturansätze (klassisches ML, Deep Learning, GenAI) * Mehrjährige praktische Erfahrung im Bereich Machine Learning / Deep Learning. Machine Learning & AI
NEU
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!
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!
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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 - 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 Datenspezialist:innen praxisnahe Machine Learning-Anwendungen und gestalte so den durch Daten, Machine Learning und KI getriebenen Wandel bei einem der größten Versicherer Deutschlands mit.
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 - 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 Datenspezialist:innen praxisnahe Machine Learning-Anwendungen und gestalte so den durch Daten, Machine Learning und KI getriebenen Wandel bei einem der größten Versicherer Deutschlands mit.
excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools * 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 - o proven research track record and multiple years of hands-on expertise in LLMs, GenAI, agentic AI, end-2-end automotive models, or vision-language models, including publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR,...)
excellent programming skills in Python with strong experience in Deep Learning frameworks like PyTorch, collaborative software development, and relevant deployment tools * 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 - o proven research track record and multiple years of hands-on expertise in LLMs, GenAI, agentic AI, end-2-end automotive models, or vision-language models, including publications in top machine learning conferences (e.g., NeurIPS, ICML, ICLR, CVPR,...)
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Trainee Internal Audit für Digital & Operations (m/w/d) - UniCredit Graduate Program
Trainee Internal Audit für Digital & Operations (m/w/d) - UniCredit Graduate Program
HypoVereinsbank - UniCredit - Deutschland
München
Teilweise Home-Office
Anschreiben nicht erforderlich
Du verfügst über erste Kenntnisse moderner KI- und Datenplattformen sowie über ein Interesse an Machine Learning, Deep Learning und Datenverarbeitung.
Du verfügst über erste Kenntnisse moderner KI- und Datenplattformen sowie über ein Interesse an Machine Learning, Deep Learning und Datenverarbeitung.
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Deine Kenntnisse umfassen mindestens eine der folgenden Programmiersprachen: Python, JavaScript, TypeScript, Rust und du hast erste Erfahrungen in der Arbeit mit Machine Learning und Deep Learning Frameworks, wie TensorFlow, PyTorch, Keras, Hugging Face Transformers - Profitiere von unserem Team, Lernressourcen, Hackathons und mehr, um deine technische Entwicklung voranzutreiben und eine Präsenz in der Machine-Learning-Community zu haben
Deine Kenntnisse umfassen mindestens eine der folgenden Programmiersprachen: Python, JavaScript, TypeScript, Rust und du hast erste Erfahrungen in der Arbeit mit Machine Learning und Deep Learning Frameworks, wie TensorFlow, PyTorch, Keras, Hugging Face Transformers - Profitiere von unserem Team, Lernressourcen, Hackathons und mehr, um deine technische Entwicklung voranzutreiben und eine Präsenz in der Machine-Learning-Community zu haben
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Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design
Senior Machine Learning Research Scientist (m/f/d) - Generative AI for Drug Design
Pfizer Pharma GmbH
Berlin
Hands-on experience implementing deep learning models using frameworks such as PyTorch - As authors of the FLOWR and PILOT frameworks, we are expanding our group of machine learning research scientists to further advance the development and application of state-of-the-art generative models for both structure- and ligand-based drug design. In this role, you will design, implement, and validate novel machine learning tools that generate testable hypotheses and help accelerate the entire drug discovery continuum. You will work with Pfizer's rich proprietary data, large-scale external datasets, and ultra-large data from strategic collaborations to push the boundaries of our machine learning capabilities. * Design, develop, and validate state-of-the-art machine learning models, with a focus on generative AI and self-supervised learning
Hands-on experience implementing deep learning models using frameworks such as PyTorch - As authors of the FLOWR and PILOT frameworks, we are expanding our group of machine learning research scientists to further advance the development and application of state-of-the-art generative models for both structure- and ligand-based drug design. In this role, you will design, implement, and validate novel machine learning tools that generate testable hypotheses and help accelerate the entire drug discovery continuum. You will work with Pfizer's rich proprietary data, large-scale external datasets, and ultra-large data from strategic collaborations to push the boundaries of our machine learning capabilities. * Design, develop, and validate state-of-the-art machine learning models, with a focus on generative AI and self-supervised learning
strong knowledge of large language models (LLMs), foundation models, and deep learning, combined with hands-on experience in fine-tuning (e.g. SFT, RLHF/RLAIF) or parameter-efficient adaptation methods such as LoRA or adapters * As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact. * A key part of your role involves researching and applying reinforcement learning–based training approaches for intelligent . o strong programming skills in Python and experience with machine learning frameworks, ideally complemented by knowledge of reinforcement learning (e.g. RL, RLHF, policy optimization)
strong knowledge of large language models (LLMs), foundation models, and deep learning, combined with hands-on experience in fine-tuning (e.g. SFT, RLHF/RLAIF) or parameter-efficient adaptation methods such as LoRA or adapters * As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact. * A key part of your role involves researching and applying reinforcement learning–based training approaches for intelligent . o strong programming skills in Python and experience with machine learning frameworks, ideally complemented by knowledge of reinforcement learning (e.g. RL, RLHF, policy optimization)
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Senior Data Scientist Vehicle Ordering Process (intelligent Built to Match) (d/m/f/x)
Senior Data Scientist Vehicle Ordering Process (intelligent Built to Match) (d/m/f/x)
Mercedes-Benz AG
Stuttgart
Teilweise Home-Office
Experience in using one or more machine and deep learning frameworks, e.g., scikit-learn, xgboost, Keras, and tensorflow - Areas of responsibility include applying statistical and machine learning methods to discover hidden patterns and information that can be used to grow the business and support data-driven business decisions. * Applying statistical methods (especially Machine Learning) to data to identify complex patterns in data and derive predictions * Creating machine learning models and applying appropriate metrics to measure and monitor the * Formulating requirements for a necessary database to contribute to the operationalization of Machine Learning services and systems * Very good knowledge in the selection, application and optimization of machine learning methods for generating data-based predictions and decisions
Experience in using one or more machine and deep learning frameworks, e.g., scikit-learn, xgboost, Keras, and tensorflow - Areas of responsibility include applying statistical and machine learning methods to discover hidden patterns and information that can be used to grow the business and support data-driven business decisions. * Applying statistical methods (especially Machine Learning) to data to identify complex patterns in data and derive predictions * Creating machine learning models and applying appropriate metrics to measure and monitor the * Formulating requirements for a necessary database to contribute to the operationalization of Machine Learning services and systems * Very good knowledge in the selection, application and optimization of machine learning methods for generating data-based predictions and decisions
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Physiker (m/w/d) als Data Scientist / Algorithmenentwickler im Bereich Ultraschall
Physiker (m/w/d) als Data Scientist / Algorithmenentwickler im Bereich Ultraschall
Rosen Technology & Research Center GmbH
Lingen
Teilweise Home-Office
Wir erreichen dies durch den Einsatz modernster Werkzeuge aus den Bereichen Big Data, High Performance Computing und Künstlicher Intelligenz, insbesondere Deep Learning. * Entwicklung von algorithmischen Methoden aus den Bereichen Signalverarbeitung, Machine Learning und Computer Vision sowie Einsatz von 3rd Party Komponenten
Wir erreichen dies durch den Einsatz modernster Werkzeuge aus den Bereichen Big Data, High Performance Computing und Künstlicher Intelligenz, insbesondere Deep Learning. * Entwicklung von algorithmischen Methoden aus den Bereichen Signalverarbeitung, Machine Learning und Computer Vision sowie Einsatz von 3rd Party Komponenten
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Fundierte Kenntnisse in Machine Learning / Deep Learning (LLMs, GPT, BERT, Reinforcement Learning) und sichere Anwendung von Daten‑ und Analyse‑Tools (SQL, Python, Tableau)
Fundierte Kenntnisse in Machine Learning / Deep Learning (LLMs, GPT, BERT, Reinforcement Learning) und sichere Anwendung von Daten‑ und Analyse‑Tools (SQL, Python, Tableau)
Physiker (m/w/d) als Data Scientist / Algorithmenentwickler im Bereich EMAT
Physiker (m/w/d) als Data Scientist / Algorithmenentwickler im Bereich EMAT
Rosen Technology & Research Center GmbH
Lingen, Osnabrück
Teilweise Home-Office
Wir erreichen dies durch den Einsatz modernster Werkzeuge aus den Bereichen Big Data, High Performance Computing und Künstlicher Intelligenz, insbesondere Deep Learning. * Entwicklung von algorithmischen Methoden aus den Bereichen Signalverarbeitung, Machine Learning und Computer Vision und Einsatz von 3rd Party Komponenten
Wir erreichen dies durch den Einsatz modernster Werkzeuge aus den Bereichen Big Data, High Performance Computing und Künstlicher Intelligenz, insbesondere Deep Learning. * Entwicklung von algorithmischen Methoden aus den Bereichen Signalverarbeitung, Machine Learning und Computer Vision und Einsatz von 3rd Party Komponenten
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Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (f/m/d)
Applied Senior/Staff Scientist with SAP S/4 Domain Expertise (f/m/d)
SAP SE
Garching bei München, DE, 85748
Proficiency with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
Proficiency with deep learning and Transformer architectures, including application to structured enterprise data, along with strong software engineering skills in Python and a proven track record of building and scaling experiments with PyTorch or TensorFlow. You will tailor our foundation models to the unique complexities of real-world SAP applications, supercharging them with the deep-seated business process intuition and specialized reasoning required for the enterprise. PhD or Master's degree in Computer Science, Artificial Intelligence, or other relevant disciplines with 5+ years of professional experience in developing machine learning models. Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
NEU
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Principal Engineer Quality Automation & Inspection
Principal Engineer Quality Automation & Inspection
West Pharmaceutical Services Deutschland GmbH & Co. KG
Eschweiler
Knowledge of AI-based vision tools and deep learning defect detections
Knowledge of AI-based vision tools and deep learning defect detections
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Werkstudent (m/w/d) – Machine Learning Automated Driving
Werkstudent (m/w/d) – Machine Learning Automated Driving
ARRK Engineering GmbH
München
Teilweise Home-Office
Schnelle Bewerbung
Kenntnisse in den Bereichen Machine Learning, Deep Learning und Künstliche Intelligenz - Sie werden Teil eines dynamischen Teams von Experten, das eng zusammenarbeitet, um fortschrittliche Machine-Learning-Modelle zu entwickeln und zu implementieren. * Unterstützung bei der Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von autonomen Fahrsystemen * Zusammenarbeit mit Softwareentwicklern und Systemingenieuren zur Integration von Machine-Learning-Lösungen in unsere autonomen Fahrsysteme
Kenntnisse in den Bereichen Machine Learning, Deep Learning und Künstliche Intelligenz - Sie werden Teil eines dynamischen Teams von Experten, das eng zusammenarbeitet, um fortschrittliche Machine-Learning-Modelle zu entwickeln und zu implementieren. * Unterstützung bei der Entwicklung und Implementierung von Machine-Learning-Modellen zur Verbesserung von autonomen Fahrsystemen * Zusammenarbeit mit Softwareentwicklern und Systemingenieuren zur Integration von Machine-Learning-Lösungen in unsere autonomen Fahrsysteme
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Senior Data Scientist (m/w/d)
Senior Data Scientist (m/w/d)
Senacor Technologies AG
Berlin, Bonn, Frankfurt, Hamburg, München, Nürnberg
Teilweise Home-Office
Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, Deep Learning), sowie von mathematischer Modellierung (Statistik, Zeitreihenanalyse, Netzwerkanalyse, usw.) und hast praktische Erfahrung mit relevanten Bibliotheken (z.B. scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost) * Du entwirfst und implementierst Machine-Learning-Modelle zur Lösung komplexer Probleme, wobei du geeignete Algorithmen auswählst und anpasst
Du verfügst über ein exzellentes Verständnis von Graph- und Machine-Learning-Algorithmen (Random Forests, Boosting, Support Vector Machines, Neural Networks, Deep Learning), sowie von mathematischer Modellierung (Statistik, Zeitreihenanalyse, Netzwerkanalyse, usw.) und hast praktische Erfahrung mit relevanten Bibliotheken (z.B. scikit-learn, TensorFlow/Keras, PyTorch, JAX, XGBoost) * Du entwirfst und implementierst Machine-Learning-Modelle zur Lösung komplexer Probleme, wobei du geeignete Algorithmen auswählst und anpasst
Experience and know-how: strong theoretical and practical background in machine learning and deep learning; solid understanding of industrial automation concepts, control systems, as well as real-time or embedded environments; proficient programming skills in Python and C++; familiarity with functional safety standards (IEC 61508, ISO 13849) as well as formal verification or validation methods; proven experience in deploying and optimizing AI models on edge devices, embedded hardware, or resource-constrained platforms; knowledge of model optimization techniques such as quantization, pruning, knowledge distillation, or accelerated inference; practical experience with PLC environments, industrial communication protocols (OPC UA, PROFINET, EtherCAT), or industrial real-time platforms is desirable
Experience and know-how: strong theoretical and practical background in machine learning and deep learning; solid understanding of industrial automation concepts, control systems, as well as real-time or embedded environments; proficient programming skills in Python and C++; familiarity with functional safety standards (IEC 61508, ISO 13849) as well as formal verification or validation methods; proven experience in deploying and optimizing AI models on edge devices, embedded hardware, or resource-constrained platforms; knowledge of model optimization techniques such as quantization, pruning, knowledge distillation, or accelerated inference; practical experience with PLC environments, industrial communication protocols (OPC UA, PROFINET, EtherCAT), or industrial real-time platforms is desirable
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- Bayern
- Baden-Württemberg
- Rheinland
- Neckarland-Schwaben
- Niedersachsen
- Hessen
- Rhein-Main-Gebiet
- Südbayern
- Niederrhein
- Taunus