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
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Do you want to play an instrumental role as IT-Security Engineer (f/m/d)*? To support our IT-Security Team at the Hamburg headquarters, we are looking for you as IT-Security Engineer (f/m/d)* with immediate effect in full-time (40 hours). As IT-Security Engineer (f/m/d)*, you will work closely with our to elevate our defensive capabilities. * A deep understanding of security automation principles, knowledge of Enterprise Firewalls as well as knowledge in the area of offensive security (“etchical hacking”). * General conditions: 30 days of vacation plus additional days off on Christmas Eve and New Year's Eve, a hybrid work model with 50% presence at the headquarters each month, a learning flat rate in the in-house Academy and company pension scheme. * Engel & Völkers Community: Various offers and training opportunities with e-learning formats, individual support, events and company ...
Do you want to play an instrumental role as IT-Security Engineer (f/m/d)*? To support our IT-Security Team at the Hamburg headquarters, we are looking for you as IT-Security Engineer (f/m/d)* with immediate effect in full-time (40 hours). As IT-Security Engineer (f/m/d)*, you will work closely with our to elevate our defensive capabilities. * A deep understanding of security automation principles, knowledge of Enterprise Firewalls as well as knowledge in the area of offensive security (“etchical hacking”). * General conditions: 30 days of vacation plus additional days off on Christmas Eve and New Year's Eve, a hybrid work model with 50% presence at the headquarters each month, a learning flat rate in the in-house Academy and company pension scheme. * Engel & Völkers Community: Various offers and training opportunities with e-learning formats, individual support, events and company ...
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
We aren't just looking for someone to maintain chatbots; we want a Mid-Level AI Engineer who is ready to build the next generation of intelligent, multi-channel experiences. * Drive Fast Time-to-Market (TTM): Work collaboratively with relevant (Data Science, Machine Learning Engineering, etc.) to iterate quickly on prototypes, ensuring a seamless and rapid transition of validated models and LLM applications into the production environment. * Contribute to Discovery: Leverage your deep understanding of system constraints, data availability, and production feasibility to proactively identify and recommend new AI use cases, working closely with Product and Data Science. * Proven experience building, deploying, and maintaining machine learning or LLM-based applications in a production environment. Our success is built on a foundation of mutual learning and teamwork.
We aren't just looking for someone to maintain chatbots; we want a Mid-Level AI Engineer who is ready to build the next generation of intelligent, multi-channel experiences. * Drive Fast Time-to-Market (TTM): Work collaboratively with relevant (Data Science, Machine Learning Engineering, etc.) to iterate quickly on prototypes, ensuring a seamless and rapid transition of validated models and LLM applications into the production environment. * Contribute to Discovery: Leverage your deep understanding of system constraints, data availability, and production feasibility to proactively identify and recommend new AI use cases, working closely with Product and Data Science. * Proven experience building, deploying, and maintaining machine learning or LLM-based applications in a production environment. Our success is built on a foundation of mutual learning and teamwork.
West Pharmaceutical Services Deutschland GmbH & Co. KG
Eschweiler
Knowledge of AI-based vision tools and deeplearning defect detections * Engineering – General \ ASQ Certified Quality Engineer (CQE or CQA) Upon Hire preferred
Knowledge of AI-based vision tools and deeplearning defect detections * Engineering – General \ ASQ Certified Quality Engineer (CQE or CQA) Upon Hire preferred
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.
Our team brings together deep expertise across hardware, signal processing, machine learning, and software engineering, with decades of experience in sensing and perception. Zendar is looking for a **Sensor Fusion & Localization Engineer** to join our Lindau am Bodensee office. **About Zendar:** Zendar is building perception for physical AI—giving engineers a strong foundation for creating world-class robotics applications. * As a Sensor Fusion & Localization Engineer in Lindau, you will design and implement the state estimation framework behind Zendar's next-generation autonomy stack.
Our team brings together deep expertise across hardware, signal processing, machine learning, and software engineering, with decades of experience in sensing and perception. Zendar is looking for a **Sensor Fusion & Localization Engineer** to join our Lindau am Bodensee office. **About Zendar:** Zendar is building perception for physical AI—giving engineers a strong foundation for creating world-class robotics applications. * As a Sensor Fusion & Localization Engineer in Lindau, you will design and implement the state estimation framework behind Zendar's next-generation autonomy stack.
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.
Design, develop, and maintain AI agents for manufacturing use cases (e.g. quality inspection, anomaly detection, process optimisation), using machine learning,deeplearning, GenAI, rules, and reasoning. * Familiarity with deeplearning techniques for vision, time-series, or text-based applications. We are looking for an AI Engineer to join our team focused on developing AI‑driven solutions and reusable AI agents for manufacturing within an Industry 4.0 environment. In this role, you will design and build intelligent agents that combine machine learning, data‑driven reasoning, and automation to support manufacturing decision‑making and operations. * Strong experience developing machine learning solutions using Python and common frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
Design, develop, and maintain AI agents for manufacturing use cases (e.g. quality inspection, anomaly detection, process optimisation), using machine learning,deeplearning, GenAI, rules, and reasoning. * Familiarity with deeplearning techniques for vision, time-series, or text-based applications. We are looking for an AI Engineer to join our team focused on developing AI‑driven solutions and reusable AI agents for manufacturing within an Industry 4.0 environment. In this role, you will design and build intelligent agents that combine machine learning, data‑driven reasoning, and automation to support manufacturing decision‑making and operations. * Strong experience developing machine learning solutions using Python and common frameworks (e.g. PyTorch, TensorFlow, scikit-learn).
We need engineers who enjoy constantly learning and diving deep into the wide range of systems and technologies that make up one of the world's largest cloud providers. To spearhead this initiative, we are actively seeking experienced systems development engineers with a strong background in automation and operations. Within AWS UC, Managed Operations engineers engage with AWS customers who require specialized security solutions for their cloud services. Amazon is looking for highly motivated Systems Development Engineers who can balance the day-to-day operations of AWS' software systems with long-term software engineering to reduce operational toil.
We need engineers who enjoy constantly learning and diving deep into the wide range of systems and technologies that make up one of the world's largest cloud providers. To spearhead this initiative, we are actively seeking experienced systems development engineers with a strong background in automation and operations. Within AWS UC, Managed Operations engineers engage with AWS customers who require specialized security solutions for their cloud services. Amazon is looking for highly motivated Systems Development Engineers who can balance the day-to-day operations of AWS' software systems with long-term software engineering to reduce operational toil.
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
Act as a technical thought leader and trusted expert within KLA's global ecosystem of optical coating partners, driving deep, forward‑looking technical discussions from concept through scalable implementation. * High level of commitment to continuous learning and to advancing optical expertise within a highly skilled development group.
Act as a technical thought leader and trusted expert within KLA's global ecosystem of optical coating partners, driving deep, forward‑looking technical discussions from concept through scalable implementation. * High level of commitment to continuous learning and to advancing optical expertise within a highly skilled development group.
We are looking for a Machine LearningEngineer to join our team and design, build, and continuously improve machine learning models for AI‑driven manufacturing solutions within an Industry 4.0 environment. * Monitor and improve model performance in real‑world environments, applying best practices in experimentation, versioning, reproducibility, and selecting appropriate ML techniques (classical ML, deeplearning, time‑series) based on the use case. * Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning. * Ensure Machine learning solutions are developed and deployed in line with information security, data protection, access control, and traceability requirements.
We are looking for a Machine LearningEngineer to join our team and design, build, and continuously improve machine learning models for AI‑driven manufacturing solutions within an Industry 4.0 environment. * Monitor and improve model performance in real‑world environments, applying best practices in experimentation, versioning, reproducibility, and selecting appropriate ML techniques (classical ML, deeplearning, time‑series) based on the use case. * Design, train, and evaluate machine learning models for manufacturing use cases such as quality prediction, anomaly detection, predictive maintenance, and process optimisation, covering the full ML lifecycle from problem definition to performance tuning. * Ensure Machine learning solutions are developed and deployed in line with information security, data protection, access control, and traceability requirements.
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.
To strengthen our team, we are seeking, starting at the earliest date possible, a Machine LearningEngineer – Language Models and Agentic AI for Scientific Imaging. * Experience in computer vision and deeplearning 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. 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 We are looking for a highly motivated and creative researcher or engineer with a strong interest in both ...
To strengthen our team, we are seeking, starting at the earliest date possible, a Machine LearningEngineer – Language Models and Agentic AI for Scientific Imaging. * Experience in computer vision and deeplearning 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. 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 We are looking for a highly motivated and creative researcher or engineer with a strong interest in both ...
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
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.
We are looking for a Principal AI Engineer to architect the next generation of intelligent, multi-channel conversational ecosystems and automated backend intelligence. * Cross-Functional Mentorship: Leverage deep system expertise to identify and recommend new AI use cases based on production feasibility and data availability. Cultivate a collaborative environment centered on mutual learning, knowledge transfer, and code quality across engineering disciplines. * Proven Production Experience: Extensive track record of building, deploying, and maintaining machine learning models or LLM-based applications in high-volume production environments. Deep familiarity with LLM frameworks, vector databases, and MLOps tooling to deploy and update models safely.
We are looking for a Principal AI Engineer to architect the next generation of intelligent, multi-channel conversational ecosystems and automated backend intelligence. * Cross-Functional Mentorship: Leverage deep system expertise to identify and recommend new AI use cases based on production feasibility and data availability. Cultivate a collaborative environment centered on mutual learning, knowledge transfer, and code quality across engineering disciplines. * Proven Production Experience: Extensive track record of building, deploying, and maintaining machine learning models or LLM-based applications in high-volume production environments. Deep familiarity with LLM frameworks, vector databases, and MLOps tooling to deploy and update models safely.
In your role as DevOps Engineer, you'll build and maintain the infrastructure automation that powers SAP Cloud Infrastructure, implementing CI/CD pipelines and deployment automation for enterprise cloud services. * Kubernetes Platform Mastery: Deep hands-on experience operating Kubernetes clusters and managing workloads, upgrades, and platform components such as ingress, service meshes, and cert-manager. * Infrastructure Mastery: Deep experience with Terraform, Pulumi, and building self-service developer platforms at hyperscaler grade - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Our culture values engineering excellence, continuous learning, and diverse perspectives.
In your role as DevOps Engineer, you'll build and maintain the infrastructure automation that powers SAP Cloud Infrastructure, implementing CI/CD pipelines and deployment automation for enterprise cloud services. * Kubernetes Platform Mastery: Deep hands-on experience operating Kubernetes clusters and managing workloads, upgrades, and platform components such as ingress, service meshes, and cert-manager. * Infrastructure Mastery: Deep experience with Terraform, Pulumi, and building self-service developer platforms at hyperscaler grade - Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Our culture values engineering excellence, continuous learning, and diverse perspectives.
We're looking for a Senior Software Engineer with deep cloud-native systems experience to help evolve this globally distributed platform. * Yearly learning budget to invest in yourself
We're looking for a Senior Software Engineer with deep cloud-native systems experience to help evolve this globally distributed platform. * Yearly learning budget to invest in yourself
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.
We are seeking a Senior Site Reliability Engineer to join the Platform Engineering Domain in the Access Team. We build the gateway between our engineers and our cloud resources. * Mentoring & support of Junior & Mid-level engineers * You are on top of incidents, generate learnings and follow up * Deepest understanding of everything built by the team
We are seeking a Senior Site Reliability Engineer to join the Platform Engineering Domain in the Access Team. We build the gateway between our engineers and our cloud resources. * Mentoring & support of Junior & Mid-level engineers * You are on top of incidents, generate learnings and follow up * Deepest understanding of everything built by the team
Was ist das Durchschnittsgehalt für Deep Learning Engineer?
Durchschnittsgehalt pro Jahr
59.200 €
Das Durchschnittsgehalt für Deep Learning Engineer liegt bei 59.200 €. Gehälter für Deep Learning Engineer liegen im Bereich zwischen 49.200 € und 68.500 €.
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