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44 Treffer für ML Engineer Jobs in Ostdeutschland im Umkreis von 30 km
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(Senior) MLOps Engineer (m/w/d) - Data Science
(Senior) MLOps Engineer (m/w/d) - Data Science
flaschenpost SE
Münster, Köln, Berlin
Teilweise Home-Office
Anschreiben nicht erforderlich
Um unsere Mission zu erfüllen, suchen wir zum nächstmöglichen Zeitpunkt einen (Senior) MLOps Engineer (m/w/d) – Data Science - Wir verantworten unter anderem eine ML-basierte Vorhersagekomponente zur effektiven Tourenplanung und Kapazitätssteuerung. * Du arbeitest an MLOps-Lösungen mit unseren Software-Engineering-Teams zusammen, um eine robuste und skalierbare ML-Infrastruktur zu sichern * Du hast Erfahrung im Designen und Trainieren von ML-Modellen
Um unsere Mission zu erfüllen, suchen wir zum nächstmöglichen Zeitpunkt einen (Senior) MLOps Engineer (m/w/d) – Data Science - Wir verantworten unter anderem eine ML-basierte Vorhersagekomponente zur effektiven Tourenplanung und Kapazitätssteuerung. * Du arbeitest an MLOps-Lösungen mit unseren Software-Engineering-Teams zusammen, um eine robuste und skalierbare ML-Infrastruktur zu sichern * Du hast Erfahrung im Designen und Trainieren von ML-Modellen
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Senior Data Engineer* / Machine Learning Engineer*
Senior Data Engineer* / Machine Learning Engineer*
inovex GmbH
Karlsruhe, Köln, München, Hamburg, Stuttgart, Pforzheim, Berlin, Erlangen
Teilweise Home-Office
Als Senior Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. Als erfahrener Engineer hast du außerdem die Möglichkeit, jüngere Kolleg:innen durch Mentoring zu unterstützen.
Als Senior Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. Als erfahrener Engineer hast du außerdem die Möglichkeit, jüngere Kolleg:innen durch Mentoring zu unterstützen.
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Unser Customer Analytics Team besteht aus mehr als 20 hochspezialisierten Data Engineers, Data Scientists, Application Consultants, Entwickler:innen und ML Engineers. Als (Junior) Machine Learning (ML) Engineer stößt Du explorative Pilotprojekte an und implementierst innovative Lösungen rund um unsere cloudbasierte analytische Plattform, die kontinuierlich um die neuesten Microsoft Azure- und Databricks-Technologien erweitert wird. Nach zahlreichen erfolgreichen Pilotprojekten und dem produktiven Rollout ambitionierter BI-, AI- und ML-Services haben wir uns entschieden, unser lokales Customer Analytics-Team weiter auszubauen! Sein Anspruch ist, die internationale Vattenfall Gruppe bezüglich AI/ML und Data Engineering vorwärts zu bringen und an der „Grenze des technisch Machbaren“ zu b
Unser Customer Analytics Team besteht aus mehr als 20 hochspezialisierten Data Engineers, Data Scientists, Application Consultants, Entwickler:innen und ML Engineers. Als (Junior) Machine Learning (ML) Engineer stößt Du explorative Pilotprojekte an und implementierst innovative Lösungen rund um unsere cloudbasierte analytische Plattform, die kontinuierlich um die neuesten Microsoft Azure- und Databricks-Technologien erweitert wird. Nach zahlreichen erfolgreichen Pilotprojekten und dem produktiven Rollout ambitionierter BI-, AI- und ML-Services haben wir uns entschieden, unser lokales Customer Analytics-Team weiter auszubauen! Sein Anspruch ist, die internationale Vattenfall Gruppe bezüglich AI/ML und Data Engineering vorwärts zu bringen und an der „Grenze des technisch Machbaren“ zu b
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AI Ops / ML Ops Engineer (m/f/d)
AI Ops / ML Ops Engineer (m/f/d)
Simon-Kucher
Berlin, Bonn, Köln, Frankfurt/Main, Hamburg, München
Teilweise Home-Office
We are seeking an experienced AI Ops Engineer to contribute to designing and building scalable SaaS products within our AI Lab. * Drive faster and more reliable ML delivery by building robust MLOps foundations, including automated training pipelines, experiment tracking, and scalable model deployment. * Increase engineering velocity and system reliability by developing and maintaining unified CI/CD pipelines that ship ML and application code seamlessly. * Enhance inference speed and portability by delivering highly optimized, secure Docker-based containers tailored for ML and LLM workloads. * Increase automation, reduce manual toil, and support rapid experimentation by leveraging Python, Bash, and Terraform to script, codify, and automate infrastructure and ML workflows. * You have pr
We are seeking an experienced AI Ops Engineer to contribute to designing and building scalable SaaS products within our AI Lab. * Drive faster and more reliable ML delivery by building robust MLOps foundations, including automated training pipelines, experiment tracking, and scalable model deployment. * Increase engineering velocity and system reliability by developing and maintaining unified CI/CD pipelines that ship ML and application code seamlessly. * Enhance inference speed and portability by delivering highly optimized, secure Docker-based containers tailored for ML and LLM workloads. * Increase automation, reduce manual toil, and support rapid experimentation by leveraging Python, Bash, and Terraform to script, codify, and automate infrastructure and ML workflows. * You have pr
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We are building a strong pipeline of Machine Learning Engineers to connect with when opportunities arise at Merantix Momentum. * Collaborating with data, backend, and frontend engineers to build production-ready AI solutions;
We are building a strong pipeline of Machine Learning Engineers to connect with when opportunities arise at Merantix Momentum. * Collaborating with data, backend, and frontend engineers to build production-ready AI solutions;
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MLOPs Engineer (w/m/d) - Data & AI Platforms
MLOPs Engineer (w/m/d) - Data & AI Platforms
Computacenter AG & Co. oHG
Berlin, Hamburg, Hannover, Stuttgart, München, Nürnberg, Düsseldorf, Frankfurt am Main
Teilweise Home-Office
Anschreiben nicht erforderlich
Idealerweise relevante Zertifizierungen wie Databricks Certified Machine Learning Associate / Professional oder AWS Certified Machine Learning Engineer - Associate - Als MLOps Engineer (w/m/d) gestaltest du die technologische Basis für die Entwicklung, Bereitstellung und den Betrieb moderner Data & AI-Plattformen. * Du baust CI/CD-Pipelines für ML-Modelle auf und betreibst sie - inklusive Testing, Deployment und Monitoring. * Du stellst ML-/KI-Produkte für die Wiederverwendung in Kundenprojekten bereit. * Erfahrung mit ML-Frameworks wie TensorFlow und PyTorch * Erfahrung mit Monitoring und Performance-Analysen von ML-Modellen - vLLM, Nvidia NIM, Nvidia Triton, Azure AI Foundry, Azure ML, AWS Bedrock, AWS SageMaker, llm-d, Inference Gateway (optional:
Idealerweise relevante Zertifizierungen wie Databricks Certified Machine Learning Associate / Professional oder AWS Certified Machine Learning Engineer - Associate - Als MLOps Engineer (w/m/d) gestaltest du die technologische Basis für die Entwicklung, Bereitstellung und den Betrieb moderner Data & AI-Plattformen. * Du baust CI/CD-Pipelines für ML-Modelle auf und betreibst sie - inklusive Testing, Deployment und Monitoring. * Du stellst ML-/KI-Produkte für die Wiederverwendung in Kundenprojekten bereit. * Erfahrung mit ML-Frameworks wie TensorFlow und PyTorch * Erfahrung mit Monitoring und Performance-Analysen von ML-Modellen - vLLM, Nvidia NIM, Nvidia Triton, Azure AI Foundry, Azure ML, AWS Bedrock, AWS SageMaker, llm-d, Inference Gateway (optional:
Data Engineer* / Machine Learning Engineer*
Data Engineer* / Machine Learning Engineer*
inovex GmbH
Karlsruhe, Köln, München, Hamburg, Stuttgart, Pforzheim, Berlin, Erlangen
Teilweise Home-Office
Als Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. Du begeisterst dich dafür, neueste ML-Lösungen lauffähig in den Praxisbetrieb unserer Kunden zu implementieren und scheust nicht davor, Aufgaben in Infrastruktur, Backend oder Frontend zu übernehmen.
Als Data Engineer* / Machine Learning Engineer* gestaltest du das Fundament für spätere Analysen sowie data-driven Services und entwickelst skalierbare, robuste und wartbare Architekturen. Du begeisterst dich dafür, neueste ML-Lösungen lauffähig in den Praxisbetrieb unserer Kunden zu implementieren und scheust nicht davor, Aufgaben in Infrastruktur, Backend oder Frontend zu übernehmen.
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Du arbeitest interdisziplinär mit Enterprise Architects, Data Scientists, Data Engineers und Business Analysts zusammen, um leistungsstarke Datenplattformen wie Data Warehouses, Data Lakes und moderne Analytics-Lösungen zu entwickeln.
Du arbeitest interdisziplinär mit Enterprise Architects, Data Scientists, Data Engineers und Business Analysts zusammen, um leistungsstarke Datenplattformen wie Data Warehouses, Data Lakes und moderne Analytics-Lösungen zu entwickeln.
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As an ML Engineer, you'll support our Sector Coupling team building the next generation of intelligent Energy Management Systems (EMS). * Maintain and improve ML pipelines (using tools like Prefect and MLFlow) to support the full lifecycle—from experiment tracking to training and validation.
As an ML Engineer, you'll support our Sector Coupling team building the next generation of intelligent Energy Management Systems (EMS). * Maintain and improve ML pipelines (using tools like Prefect and MLFlow) to support the full lifecycle—from experiment tracking to training and validation.
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As an ML Engineer at muffintech, you will be instrumental in designing, implementing, and scaling modular multi-agent systems powered by Large Language Models (LLMs). We are expanding our team and are currently seeking a Machine Learning Engineer to drive innovation in the development and deployment of LLM-based multi-agent systems and intelligent AI workflows. * Architect and deploy scalable ML pipelines for LLM-based applications.
As an ML Engineer at muffintech, you will be instrumental in designing, implementing, and scaling modular multi-agent systems powered by Large Language Models (LLMs). We are expanding our team and are currently seeking a Machine Learning Engineer to drive innovation in the development and deployment of LLM-based multi-agent systems and intelligent AI workflows. * Architect and deploy scalable ML pipelines for LLM-based applications.
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Schnelle Bewerbung
We are looking for a Staff ML/AI Data Engineer to lead this transformation by building scalable infrastructure (data volume per source is growing by hundreds of MB per hour), robust data pipelines, and efficient MLOps workflows. In this high-impact, new role, you will partner with product, data engineers, data scientists and data analysts to enable real-time, predictive insights and drive data-driven innovation. * Develop scalable data infrastructure: Lead the design and implementation of real-time data pipelines and ML/AI solutions to advance data maturity across the organization. * Infrastructure & tooling: Experience developing scalable infrastructures for data analytics, ML and AI.
We are looking for a Staff ML/AI Data Engineer to lead this transformation by building scalable infrastructure (data volume per source is growing by hundreds of MB per hour), robust data pipelines, and efficient MLOps workflows. In this high-impact, new role, you will partner with product, data engineers, data scientists and data analysts to enable real-time, predictive insights and drive data-driven innovation. * Develop scalable data infrastructure: Lead the design and implementation of real-time data pipelines and ML/AI solutions to advance data maturity across the organization. * Infrastructure & tooling: Experience developing scalable infrastructures for data analytics, ML and AI.
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As a Senior Machine Learning Engineer - AI Integration Engineer, you will be instrumental in developing AI solutions and integrating them into our production environments and on mobile devices. * Collaborate with cross-functional teams, such as clinical R&D specialists, product and software engineers, presenting your ideas, supporting other computer vision engineers, data scientists, and fostering a team-player environment with your solution driven mindset. * Good knowledge of AI/ML solutions, algorithms, and best practices, with the ability to apply them to solve complex problems.
As a Senior Machine Learning Engineer - AI Integration Engineer, you will be instrumental in developing AI solutions and integrating them into our production environments and on mobile devices. * Collaborate with cross-functional teams, such as clinical R&D specialists, product and software engineers, presenting your ideas, supporting other computer vision engineers, data scientists, and fostering a team-player environment with your solution driven mindset. * Good knowledge of AI/ML solutions, algorithms, and best practices, with the ability to apply them to solve complex problems.
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NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. We are looking for engineers who are excited about building powerful, -centric tools and are comfortable working in a fast-paced, collaborative environment.
NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. We are looking for engineers who are excited about building powerful, -centric tools and are comfortable working in a fast-paced, collaborative environment.
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Mehr als 3 Jahre Erfahrung als Machine Learning Engineer, Data Engineer oder in einer ähnlichen Funktion mit starkem ML-Hintergrund * Entwerfen, Erstellen und Pflege der ML CI/CD-Pipeline und Workflows, die die Datenerfassung, Datenanalyse, Experimente, Modellschulung, Modellbereitstellung und Überwachung in der Produktion automatisieren * Automatisierung von Modellschulungs- und Freigabe-Workflows und Aufbau von Diensten rund um ML-Inferenz und Modellbereitstellung für die Laufzeitverarbeitung * Implementierung von Maßnahmen zur Verbesserung der Zuverlässigkeit und Leistung der ML-Infrastruktur * Aktive Suche nach Möglichkeiten zur Verbesserung der ML-Pipeline-Entwicklung und des Betriebsprozesses * Erfahrung in der Erstellung, Bereitstellung und War
Mehr als 3 Jahre Erfahrung als Machine Learning Engineer, Data Engineer oder in einer ähnlichen Funktion mit starkem ML-Hintergrund * Entwerfen, Erstellen und Pflege der ML CI/CD-Pipeline und Workflows, die die Datenerfassung, Datenanalyse, Experimente, Modellschulung, Modellbereitstellung und Überwachung in der Produktion automatisieren * Automatisierung von Modellschulungs- und Freigabe-Workflows und Aufbau von Diensten rund um ML-Inferenz und Modellbereitstellung für die Laufzeitverarbeitung * Implementierung von Maßnahmen zur Verbesserung der Zuverlässigkeit und Leistung der ML-Infrastruktur * Aktive Suche nach Möglichkeiten zur Verbesserung der ML-Pipeline-Entwicklung und des Betriebsprozesses * Erfahrung in der Erstellung, Bereitstellung und War
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Schnelle Bewerbung
We are looking to strengthen our team with one additional Senior Machine Learning Research Engineer (m/f/d) role. * Strong Python programming skills and experience with ML frameworks (PyTorch preferred) * Proven experience building and deploying ML models in production * 2+ years of industry experience in ML/software engineering
We are looking to strengthen our team with one additional Senior Machine Learning Research Engineer (m/f/d) role. * Strong Python programming skills and experience with ML frameworks (PyTorch preferred) * Proven experience building and deploying ML models in production * 2+ years of industry experience in ML/software engineering
We're looking for an ML / DevOps Engineer to own the infrastructure powering our AI systems — ensuring that data pipelines, training clusters and deployed run fast, reliably and at scale. * Build and operate the infrastructure behind our ML pipelines and video data processing tools * Design and maintain CI/CD for ML — automating builds, testing and releases - You make advanced AI systems run like clockwork — turning complex ML research into dependable, production-grade infrastructure. * 5–7 years experience running large-scale ML or data systems in production * Pragmatic, reliable and comfortable balancing ML experimentation with engineering rigor
We're looking for an ML / DevOps Engineer to own the infrastructure powering our AI systems — ensuring that data pipelines, training clusters and deployed run fast, reliably and at scale. * Build and operate the infrastructure behind our ML pipelines and video data processing tools * Design and maintain CI/CD for ML — automating builds, testing and releases - You make advanced AI systems run like clockwork — turning complex ML research into dependable, production-grade infrastructure. * 5–7 years experience running large-scale ML or data systems in production * Pragmatic, reliable and comfortable balancing ML experimentation with engineering rigor
Noch nichts dabei? Es gibt 28 weitere Jobs, die zu deiner Suche passen könnten
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Anschreiben nicht erforderlich
Senior Machine Learning Engineer (m/f/d) as soon as possible. * implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux. * have at least 2+ years of experience in Machine Learning Engineering on Databricks, including experience with Unity Catalogue, Asset Bundles, Workspace creation, ML Flow, Lakebase and Python.
Senior Machine Learning Engineer (m/f/d) as soon as possible. * implement and productionise ML-based services on our AI- and big-data-platform Databricks, using Python, SQL and Linux. * have at least 2+ years of experience in Machine Learning Engineering on Databricks, including experience with Unity Catalogue, Asset Bundles, Workspace creation, ML Flow, Lakebase and Python.
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We are seeking a Senior Site Reliability Engineer to join the Platform Engineering Domain in the AI Platform Team. * Experience in AI/ML production systems and the unique challenges of scaling AI workloads. * Experience in orchestration for AI/ML workloads. * Strong understanding of compliance and governance in AI/ML platforms.
We are seeking a Senior Site Reliability Engineer to join the Platform Engineering Domain in the AI Platform Team. * Experience in AI/ML production systems and the unique challenges of scaling AI workloads. * Experience in orchestration for AI/ML workloads. * Strong understanding of compliance and governance in AI/ML platforms.
N26 GmbH * Barcelona, Berlin * Feste Anstellung * Homeoffice möglich, Vollzeit - Introduction - About the opportunity - Banking Foundations domain mission for N26 is to provide secure and compliant banking services that are frictionless and innovative for customers, while enabling efficient operations and informed decision-making for our . We achieve this through robust customer identity verification, proactive risk management, and seamless customer support. This foundation enables N26 to achieve sustainable growth while maintaining the highest levels of trust with our customers and regulators. This role focuses on owning and optimizing the - global, large-scale cloud infrastructure - that powers our organization, with a specific emphasis on supporting - third-party tools, key - AI-related services - and the related integrations.
N26 GmbH * Barcelona, Berlin * Feste Anstellung * Homeoffice möglich, Vollzeit - Introduction - About the opportunity - Banking Foundations domain mission for N26 is to provide secure and compliant banking services that are frictionless and innovative for customers, while enabling efficient operations and informed decision-making for our . We achieve this through robust customer identity verification, proactive risk management, and seamless customer support. This foundation enables N26 to achieve sustainable growth while maintaining the highest levels of trust with our customers and regulators. This role focuses on owning and optimizing the - global, large-scale cloud infrastructure - that powers our organization, with a specific emphasis on supporting - third-party tools, key - AI-related services - and the related integrations.
We are seeking an experienced Lead AI Software Engineer /Architect ready to push the boundaries of what AI can do for business and participate in continuing to shape and realize our vision for next generation pricing. You'll be part of our AI team where you will work closely with our AI Product Manager, Data Scientists, and MLOps engineers to experiment, prototype, and design scalable AI features that bring intelligence, transparency and reliability to our SaaS pricing apps — turning ideas into real, impactful customer experiences. * You have 8+ years in software engineering, with at least 2 years focused on AI/ML. * Working knowledge of MLOps, CI/CD for ML, and model monitoring.
We are seeking an experienced Lead AI Software Engineer /Architect ready to push the boundaries of what AI can do for business and participate in continuing to shape and realize our vision for next generation pricing. You'll be part of our AI team where you will work closely with our AI Product Manager, Data Scientists, and MLOps engineers to experiment, prototype, and design scalable AI features that bring intelligence, transparency and reliability to our SaaS pricing apps — turning ideas into real, impactful customer experiences. * You have 8+ years in software engineering, with at least 2 years focused on AI/ML. * Working knowledge of MLOps, CI/CD for ML, and model monitoring.
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Mobile Software Architect / Engineer (m/w/d) (Platform & iOS)
Mobile Software Architect / Engineer (m/w/d) (Platform & iOS)
Computer Futures
Hamburg, Berlin
Teilweise Home-Office
Du arbeitest eng mit Produkt, UX, QA und Engineering zusammen, verantwortest Architekturentscheidungen, baust wiederverwendbare Komponenten, stärkst Sicherheit und Observability und gestaltest eine exzellente User Experience – perspektivisch auch mit On‑Device‑ML/CV.
Du arbeitest eng mit Produkt, UX, QA und Engineering zusammen, verantwortest Architekturentscheidungen, baust wiederverwendbare Komponenten, stärkst Sicherheit und Observability und gestaltest eine exzellente User Experience – perspektivisch auch mit On‑Device‑ML/CV.
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Software Entwickler Android / iOS / Flutter (m/w/d) - Java Swift Dart Kotlin - Programmierer - Mobile App Developer - Engineer
Software Entwickler Android / iOS / Flutter (m/w/d) - Java Swift Dart Kotlin - Programmierer - Mobile App Developer - Engineer
CHEQSITE GmbH
Berlin
In Forschungsprojekten und Entwicklungsprojekten setzen wir u.a. auf Augmented Reality (AR), Künstliche Intelligenz / Artificial Intelligence (KI / AI) und Machine Learning (ML).
In Forschungsprojekten und Entwicklungsprojekten setzen wir u.a. auf Augmented Reality (AR), Künstliche Intelligenz / Artificial Intelligence (KI / AI) und Machine Learning (ML).
Software Entwickler (m/w/d) - Java Spring Boot PHP Backend - DevOps - Vue.js Web Frontend - Programmierer - Developer - Engineer
Software Entwickler (m/w/d) - Java Spring Boot PHP Backend - DevOps - Vue.js Web Frontend - Programmierer - Developer - Engineer
CHEQSITE GmbH
Berlin
Teilweise Home-Office
Schnelle Bewerbung
In industriellen Forschungsarbeiten und Entwicklungsprojekten setzen wir auf Cross-Platform Development, Augmented Reality (AR), Künstliche Intelligenz (KI) und Machine Learning (ML).
In industriellen Forschungsarbeiten und Entwicklungsprojekten setzen wir auf Cross-Platform Development, Augmented Reality (AR), Künstliche Intelligenz (KI) und Machine Learning (ML).
Drive your project and work with experienced , machine learning engineers, and to deliver customer value and allow you to develop your skill-set further. * Experience with cloud ML platforms, specifically AWS Sagemaker, is a plus.
Drive your project and work with experienced , machine learning engineers, and to deliver customer value and allow you to develop your skill-set further. * Experience with cloud ML platforms, specifically AWS Sagemaker, is a plus.
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AI Manager – Enterprise Applications (all genders)
AI Manager – Enterprise Applications (all genders)
Roland Berger Holding GmbH & Co. KGaA
Berlin, Düsseldorf, Frankfurt am Main, Hamburg, München, Stuttgart
Offer technical leadership to AI engineers, developers, and partner teams working with the AI orchestration platform (e.g. best practices, code and architecture reviews, platform standards). * Master's degree in Computer Science, Data Science, Information Systems, Engineering or a related technical field, or a comparable qualification with strong practical experience in AI / ML and enterprise IT. * Professional certifications in cloud platforms or AI / ML (e.g. Azure, AWS, GCP, MLOps) are a plus. * Track record of leading cross-functional technical initiatives (ideally involving AI / ML, automation, or advanced analytics) and working closely with business . * Deep understanding of AI / ML concepts (e.g. model lifecycle, MLOps, LLMs, orchestration, monitoring) and their integration int
Offer technical leadership to AI engineers, developers, and partner teams working with the AI orchestration platform (e.g. best practices, code and architecture reviews, platform standards). * Master's degree in Computer Science, Data Science, Information Systems, Engineering or a related technical field, or a comparable qualification with strong practical experience in AI / ML and enterprise IT. * Professional certifications in cloud platforms or AI / ML (e.g. Azure, AWS, GCP, MLOps) are a plus. * Track record of leading cross-functional technical initiatives (ideally involving AI / ML, automation, or advanced analytics) and working closely with business . * Deep understanding of AI / ML concepts (e.g. model lifecycle, MLOps, LLMs, orchestration, monitoring) and their integration int