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31 Treffer für Ml Engineer Jobs in Berlin im Umkreis von 30 km
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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.
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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We're looking for a Machine Learning Research Engineer with a deep understanding of the audio modality, a strong track record of developing and deploying custom deep learning models, as well as designing specialized data pipelines, and the drive to create real-world impact beyond academic benchmarks. * Work With the Best: World-class team of engineers and builders with ample room for professional growth.
We're looking for a Machine Learning Research Engineer with a deep understanding of the audio modality, a strong track record of developing and deploying custom deep learning models, as well as designing specialized data pipelines, and the drive to create real-world impact beyond academic benchmarks. * Work With the Best: World-class team of engineers and builders with ample room for professional growth.
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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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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 Wartung von ML-Modellen in der Produktion * Erfahrung mit ML-Frameworks, Python-Tools für Data Science und MLOps-Tools wie ...
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 Wartung von ML-Modellen in der Produktion * Erfahrung mit ML-Frameworks, Python-Tools für Data Science und MLOps-Tools wie ...
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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
Noch nichts dabei? Es gibt 22 weitere Jobs, die zu deiner Suche passen könnten
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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.
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Senior Software Engineer GenAI Enterprise Applications (all genders)
Senior Software Engineer GenAI Enterprise Applications (all genders)
adesso SE
Berlin, Bremen, Dresden, Hamburg, Jena, Kiel, Leipzig, Neumünster, Rostock
Teilweise Home-Office
Anschreiben nicht erforderlich
Teamorientiert & neugierig: Du arbeitest eng mit :innen, Data/ML-Teams und Fachbereichen zusammen, lernst schnell dazu und hilfst, aus Konzepten produktive GenAI-Lösungen zu machen.
Teamorientiert & neugierig: Du arbeitest eng mit :innen, Data/ML-Teams und Fachbereichen zusammen, lernst schnell dazu und hilfst, aus Konzepten produktive GenAI-Lösungen zu machen.
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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).
NEU
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Entwickeln automatisierter Validierungs-, Monitoring- und Observability-Mechanismen für daten- und ML-gestützte Labeling-Prozesse * Zusammenarbeit mit Analytics-, ML- und Produktteams zur Bereitstellung kuratierter Datensätze für Reporting und Modellentwicklung * Erfahrung mit Python für Datenverarbeitung, Pipeline-Entwicklung und Automatisierung von ML-Workflows * Verständnis grundlegender ML-Konzepte – Modelllebenszyklus, Feature-Pipelines, Evaluationsmethoden und Datenanforderungen für überwachtes Lernen
Entwickeln automatisierter Validierungs-, Monitoring- und Observability-Mechanismen für daten- und ML-gestützte Labeling-Prozesse * Zusammenarbeit mit Analytics-, ML- und Produktteams zur Bereitstellung kuratierter Datensätze für Reporting und Modellentwicklung * Erfahrung mit Python für Datenverarbeitung, Pipeline-Entwicklung und Automatisierung von ML-Workflows * Verständnis grundlegender ML-Konzepte – Modelllebenszyklus, Feature-Pipelines, Evaluationsmethoden und Datenanforderungen für überwachtes Lernen
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.
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).
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AI Platform Engineer (m/w/d)
AI Platform Engineer (m/w/d)
Sopra Steria
bundesweit, Berlin, Frankfurt, Hamburg, Köln, Leipzig, München
Teilweise Home-Office
Anschreiben nicht erforderlich
Konzeption und Umsetzung von End-To-End GenAI- und ML-Infrastrukturen, die den kompletten Lebenszyklus von AI-Anwendungsfällen abdecken – von der Datenaufbereitung über Training und Fine-Tuning von Modellen (z. B. LLMs) bis hin zu Trigger-Systemen für kontinuierliches Re-Training, Bereitstellung von Modellen als Services und Monitoring * Planung, Aufbau und Administration von Betriebsplattformen (On-Premise oder Cloud) für GenAI- und ML-Anwendungen, basierend auf modernen Technologien wie Kubernetes oder modernen Container-Orchestrierungsansätzen – sowie Analyse und Optimierung bestehender Plattformen beim Kunden * Sehr gute Kenntnisse und mehrjährige Berufserfahrung in container-basierten Architekturen (z. B. Docker) sowie Plattformen wie Kubernetes oder Openshift, speziell im Kontext von Infrastruktur für GenAI und ML
Konzeption und Umsetzung von End-To-End GenAI- und ML-Infrastrukturen, die den kompletten Lebenszyklus von AI-Anwendungsfällen abdecken – von der Datenaufbereitung über Training und Fine-Tuning von Modellen (z. B. LLMs) bis hin zu Trigger-Systemen für kontinuierliches Re-Training, Bereitstellung von Modellen als Services und Monitoring * Planung, Aufbau und Administration von Betriebsplattformen (On-Premise oder Cloud) für GenAI- und ML-Anwendungen, basierend auf modernen Technologien wie Kubernetes oder modernen Container-Orchestrierungsansätzen – sowie Analyse und Optimierung bestehender Plattformen beim Kunden * Sehr gute Kenntnisse und mehrjährige Berufserfahrung in container-basierten Architekturen (z. B. Docker) sowie Plattformen wie Kubernetes oder Openshift, speziell im Kontext von Infrastruktur für GenAI und ML
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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.
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.
We are looking for a versatile and highly capable Forward Deployed Engineer based in Berlin, Germany to join ai-coustics. * Feed real-world insights back into the product roadmap: identify recurring integration friction, missing features, and quality edge cases, and collaborate closely with Product, Core Engineering, and ML teams. * Customer-facing engineering experience (Forward Deployed, Solutions, or Implementation Engineering), ideally in a developer-first or ML infrastructure company serving technical buyers. * Comfort working with ML-powered products: ability to reason about model behavior, quality trade-offs, failure modes, and real-world performance without requiring a research background. * Excellent communication and stakeholder skills: capable of leading technical deep dives, aligning with customer engineering teams, and translating complex audio/ML topics into actionable guidance.
We are looking for a versatile and highly capable Forward Deployed Engineer based in Berlin, Germany to join ai-coustics. * Feed real-world insights back into the product roadmap: identify recurring integration friction, missing features, and quality edge cases, and collaborate closely with Product, Core Engineering, and ML teams. * Customer-facing engineering experience (Forward Deployed, Solutions, or Implementation Engineering), ideally in a developer-first or ML infrastructure company serving technical buyers. * Comfort working with ML-powered products: ability to reason about model behavior, quality trade-offs, failure modes, and real-world performance without requiring a research background. * Excellent communication and stakeholder skills: capable of leading technical deep dives, aligning with customer engineering teams, and translating complex audio/ML topics into actionable guidance.
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We are seeking an experienced Data Engineer. * Maintain CI/CD workflows for data and ML workloads.
We are seeking an experienced Data Engineer. * Maintain CI/CD workflows for data and ML workloads.
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Als Application Consultant SAP IS-U arbeitest Du in einer dynamischen, sich durch die aktuellen Innovationen sowie durch vom Gesetzgeber initiierte prozessuale Vorgaben (Digitalisierung der Energiewende, Big Data, KI/ML, etc.) schnell entwickelnden Umgebung. Als Requirements Engineer / arbeitest du im Team und erstellst gemeinsam mit unseren Business-Units Lösungskonzepte, bist Teil von Projekten in deinem Zuständigkeitsbereich, begleitest eng die technische Umsetzung und bringst dich aktiv in die Durchführung der Prozesstests ein.
Als Application Consultant SAP IS-U arbeitest Du in einer dynamischen, sich durch die aktuellen Innovationen sowie durch vom Gesetzgeber initiierte prozessuale Vorgaben (Digitalisierung der Energiewende, Big Data, KI/ML, etc.) schnell entwickelnden Umgebung. Als Requirements Engineer / arbeitest du im Team und erstellst gemeinsam mit unseren Business-Units Lösungskonzepte, bist Teil von Projekten in deinem Zuständigkeitsbereich, begleitest eng die technische Umsetzung und bringst dich aktiv in die Durchführung der Prozesstests ein.
Hands-on experience applying machine learning to audio and speech, with prior work on speech enhancement, source separation, ASR, TTS, speaker-related tasks, or closely related audio ML problems. * Work With the Best: World-class team of engineers and builders with ample room for professional growth.
Hands-on experience applying machine learning to audio and speech, with prior work on speech enhancement, source separation, ASR, TTS, speaker-related tasks, or closely related audio ML problems. * Work With the Best: World-class team of engineers and builders with ample room for professional growth.
We're looking for an Audio Data Infrastructure Engineer to design and maintain a robust, scalable data pipeline that transforms raw audio from diverse sources into structured analytics at scale. This includes ingesting raw audio, running large-scale ML- and DSP-based analysis, and storing the resulting metadata and analytics efficiently in a large PostgreSQL database. * Build distributed compute pipelines for ML inference on audio frames. * Work closely with ML and backend teams to integrate new models and analytics. * 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems, working on production systems at scale. * Experience running ML inference pipelines at scale to label, classify, or structure large datasets, with a realistic understanding of what modern ML models can and cannot reliably infer.
We're looking for an Audio Data Infrastructure Engineer to design and maintain a robust, scalable data pipeline that transforms raw audio from diverse sources into structured analytics at scale. This includes ingesting raw audio, running large-scale ML- and DSP-based analysis, and storing the resulting metadata and analytics efficiently in a large PostgreSQL database. * Build distributed compute pipelines for ML inference on audio frames. * Work closely with ML and backend teams to integrate new models and analytics. * 3+ years of experience in Data Engineering, ML Infrastructure, or Distributed Systems, working on production systems at scale. * Experience running ML inference pipelines at scale to label, classify, or structure large datasets, with a realistic understanding of what modern ML models can and cannot reliably infer.
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We're looking for a Benchmark Engineer to own and evolve how we measure, validate, and communicate Qdrant's performance. * Experience with vector search, ANN algorithms, or ML infrastructure
We're looking for a Benchmark Engineer to own and evolve how we measure, validate, and communicate Qdrant's performance. * Experience with vector search, ANN algorithms, or ML infrastructure
We're looking for a Digital Audio Signal Processing Engineer to own and drive the continued development of our core audio simulation and augmentation systems that underpin our machine learning stack. This system generates training and evaluation data that closely approximates real production audio by starting from clean audio and applying simulation, DSP, and ML-based transformations. You'll work in a small, focused team of audio, machine learning, and data engineers, collaborating closely to build and evolve the core systems behind our audio AI products. * You are a strong systems engineer: Experience turning research or prototype implementations into robust, high-performance production code, with strong proficiency in Python for rapid development and tooling, and the ability to write highly efficient low-level code in at least one of Rust, C, or C++.
We're looking for a Digital Audio Signal Processing Engineer to own and drive the continued development of our core audio simulation and augmentation systems that underpin our machine learning stack. This system generates training and evaluation data that closely approximates real production audio by starting from clean audio and applying simulation, DSP, and ML-based transformations. You'll work in a small, focused team of audio, machine learning, and data engineers, collaborating closely to build and evolve the core systems behind our audio AI products. * You are a strong systems engineer: Experience turning research or prototype implementations into robust, high-performance production code, with strong proficiency in Python for rapid development and tooling, and the ability to write highly efficient low-level code in at least one of Rust, C, or C++.