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18 Treffer für Junior Machine Learning Engineer Jobs in München im Umkreis von 30 km
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Ähnliche Rollen: R&D Engineer, Systems Engineer, CTO Associate, Technical Associate, Robotics Engineer, Firmware Engineer, Machine Learning Engineer, Biomedical Engineer, Electrical Engineer - Erfahrung mit Mikrocontrollern, Embedded Systems, IoT-Geräten, Machine Learning, Signalverarbeitung, Datenanalyse, CAD-Tools oder mechanischem Design - Tech & Domain: Systems Engineering, Elektronik, Software, Firmware, Hardware Software Integration, Machine Learning, Wearables, interdisziplinäres Engineering, Produktentwicklung, MedTech, Geistiges Eigentum, Patent - Wir suchen eine/n Junior Produktentwickler*in in Vollzeit, die/der direkt mit dem an den zentralen technischen Herausforderungen unserer Technologie arbeitet.
Ähnliche Rollen: R&D Engineer, Systems Engineer, CTO Associate, Technical Associate, Robotics Engineer, Firmware Engineer, Machine Learning Engineer, Biomedical Engineer, Electrical Engineer - Erfahrung mit Mikrocontrollern, Embedded Systems, IoT-Geräten, Machine Learning, Signalverarbeitung, Datenanalyse, CAD-Tools oder mechanischem Design - Tech & Domain: Systems Engineering, Elektronik, Software, Firmware, Hardware Software Integration, Machine Learning, Wearables, interdisziplinäres Engineering, Produktentwicklung, MedTech, Geistiges Eigentum, Patent - Wir suchen eine/n Junior Produktentwickler*in in Vollzeit, die/der direkt mit dem an den zentralen technischen Herausforderungen unserer Technologie arbeitet.
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Data Engineer* / Machine Learning Engineer*
Data Engineer* / Machine Learning Engineer*
inovex GmbH
Karlsruhe, Köln, München, Hamburg, Stuttgart, 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 bist Expert:in für die Ende-zu-Ende-Integration von Daten-/ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme.
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 bist Expert:in für die Ende-zu-Ende-Integration von Daten-/ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme.
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Machine Learning Engineer – Retail & Buying (m/f/d)
Machine Learning Engineer – Retail & Buying (m/f/d)
limango GmbH
München, Home-Office
Teilweise Home-Office
As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. You will join a focused team of three Machine Learning Engineers and report directly to the ML Retail Team Lead. * Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production. * Continuous Learning, access to language courses and tailored development programs.
As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. You will join a focused team of three Machine Learning Engineers and report directly to the ML Retail Team Lead. * Proven experience as a Machine Learning Engineer (mid–senior), working with end‑to‑end ML systems in production. * Continuous Learning, access to language courses and tailored development programs.
NEU
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Erfahrung als Machine Learning Engineer oder in einer ähnlichen Rolle * Entwicklung, Implementierung und Optimierung von Machine-Learning-Modellen und Algorithmen
Erfahrung als Machine Learning Engineer oder in einer ähnlichen Rolle * Entwicklung, Implementierung und Optimierung von Machine-Learning-Modellen und Algorithmen
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Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * A deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization is part of your profile.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * A deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization is part of your profile.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. * Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. * Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Senior Data Engineer* / Machine Learning Engineer*
Senior Data Engineer* / Machine Learning Engineer*
inovex GmbH
Karlsruhe, Köln, München, Hamburg, Stuttgart, 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. * Du bist Expert:in für die Ende-zu-Ende-Integration von Daten- / ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme. 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. * Du bist Expert:in für die Ende-zu-Ende-Integration von Daten- / ETL-Pipelines und das Deployment von Machine-Learning-Modellen bis hin zur Bereitstellung der Ergebnisse innerhalb bestehender IT-Systeme. Als erfahrener Engineer hast du außerdem die Möglichkeit, jüngere Kolleg:innen durch Mentoring zu unterstützen.
Am Standort München suchen wir Sie als ML Ops Engineer - Implementation (f/m/x) * Furthermore, you engineer petabyte-scale data pipelines that consume domain datasets, transforming raw MDF4 (.mf4) and MCAP log files into training-ready formats.
Am Standort München suchen wir Sie als ML Ops Engineer - Implementation (f/m/x) * Furthermore, you engineer petabyte-scale data pipelines that consume domain datasets, transforming raw MDF4 (.mf4) and MCAP log files into training-ready formats.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * A deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization is part of your profile.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * A deep understanding of modern AI model architectures, training pipelines, distributed learning, and GPU optimization is part of your profile.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * You will work closely with staff engineers to shape our model landscape and tooling infrastructure to deliver customer value.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * You will work closely with staff engineers to shape our model landscape and tooling infrastructure to deliver customer value.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. * Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in machine learning engineering with Python (PyTorch) and strong software fundamentals in testing, profiling, and CI/CD. * Experience with A/B experimentation, basics of causal inference, and privacy-preserving learning patterns.
Furthermore, you engineer petabyte-scale data pipelines that consume domain datasets, transforming raw MDF4 (.mf4) and MCAP log files into training-ready formats.
Furthermore, you engineer petabyte-scale data pipelines that consume domain datasets, transforming raw MDF4 (.mf4) and MCAP log files into training-ready formats.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. * Several years of experience in applied machine learning and model engineering.
Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. Am Standort München suchen wir Sie als Senior MLOps Engineer - Autonomous Driving Platform (f/m/x) * You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle.
Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. Am Standort München suchen wir Sie als Senior MLOps Engineer - Autonomous Driving Platform (f/m/x) * You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. * You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle.
Artificial Intelligence and machine learning are at the cutting edge when it comes to shaping next-gen mobility in areas like automated driving. Together, we enable innovative AI solutions by providing robust, cloud-native infrastructure for the entire machine learning lifecycle. * At least five years of professional experience in MLOps, DevOps, or Cloud Engineering with a focus on machine learning platforms. * You collaborate closely with , AI/ML engineers, and cloud architects to ensure robust infrastructure for the entire AI/ML lifecycle.
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Experience in applied machine learning and statistics, with the ability to reason under uncertainty and biological variability using both classical and modern approaches - We are hiring a full time Applied ML Engineer to turn complex biological data into reliable algorithms that directly shape product behavior and enable measurable improvements in muscle health. Related roles: Applied ML Engineer, ML Engineer,
Experience in applied machine learning and statistics, with the ability to reason under uncertainty and biological variability using both classical and modern approaches - We are hiring a full time Applied ML Engineer to turn complex biological data into reliable algorithms that directly shape product behavior and enable measurable improvements in muscle health. Related roles: Applied ML Engineer, ML Engineer,
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We drive the Data & AI transformation of the BMW Group with innovative platforms, state-of-the-art cloud architecture, and excellent engineering. * Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience. * You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments. * Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions. Together, we create the technical foundation for scalable, secure, and efficient AI solutions across the entire company. * Furthermore, you work closely with , , and to design and implement APIs, services, and platform functionalities. * You also ensure the quality, stability, and security of the platform – including ...
We drive the Data & AI transformation of the BMW Group with innovative platforms, state-of-the-art cloud architecture, and excellent engineering. * Experience in building and operating enterprise-wide AI or data platforms with a focus on scalability, performance, and user experience. * You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments. * Additionally, you support the entire AI lifecycle – from data preparation through development and training to the productive operation of machine learning and generative AI solutions. Together, we create the technical foundation for scalable, secure, and efficient AI solutions across the entire company. * Furthermore, you work closely with , , and to design and implement APIs, services, and platform functionalities. * You also ensure the quality, stability, and security of the platform – including ...
But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good. We specialize in AI, Generative AI and Generative Design, driving the identification, industrialization and scaling of new technologies in practical applications. * You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation. * You will independently identify, evaluate and manage AI-related projects. * Furthermore, you will design and develop end-to-end, scalable AI systems to enable the efficient industrialization of customer projects, with a particular focus on GenAI. * At least 3 years of experience in implementing and industrializing AI solutions, including at least one major open-source framework (e.g. LangChain, Pytorch).
But it takes real intellectual leadership and expertise to identify and then harness the AI trends and technologies that will transform the way people travel for good. We specialize in AI, Generative AI and Generative Design, driving the identification, industrialization and scaling of new technologies in practical applications. * You will take overall technical responsibility for complex, cross-functional AI initiatives – from requirements analysis through to implementation. * You will independently identify, evaluate and manage AI-related projects. * Furthermore, you will design and develop end-to-end, scalable AI systems to enable the efficient industrialization of customer projects, with a particular focus on GenAI. * At least 3 years of experience in implementing and industrializing AI solutions, including at least one major open-source framework (e.g. LangChain, Pytorch).
With our team of Vehicle AI engineers, architects, and platform developers, you will contribute to making our vehicles truly intelligent. You will shape data models and software architecture, determine and drive the implementation of in-vehicle software platforms with a strong focus on connecting Autonomous Driving and Real-Time Systems with other domains contributing to a great customer experience. * You will define the core semantic ontology and context data models that empower our future agentic AI for Autonomous Driving and Real-Time systems. * Also, you design and implement a multi-level memory concept, enabling vehicles to learn and retain context across real-time and long-term horizons with particular focus on connecting to our in-vehicle speech assistant. * You orchestrate the seamless integration of ML, GenAI, and symbolic reasoning rules to curate and foster the semantic ...
With our team of Vehicle AI engineers, architects, and platform developers, you will contribute to making our vehicles truly intelligent. You will shape data models and software architecture, determine and drive the implementation of in-vehicle software platforms with a strong focus on connecting Autonomous Driving and Real-Time Systems with other domains contributing to a great customer experience. * You will define the core semantic ontology and context data models that empower our future agentic AI for Autonomous Driving and Real-Time systems. * Also, you design and implement a multi-level memory concept, enabling vehicles to learn and retain context across real-time and long-term horizons with particular focus on connecting to our in-vehicle speech assistant. * You orchestrate the seamless integration of ML, GenAI, and symbolic reasoning rules to curate and foster the semantic ...
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Mehrjährige Berufserfahrung als Software Engineer, Senior Engineer oder Architect. * ARRK Engineering GmbH * München * Feste Anstellung * Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - ARRK Engineering ist Teil des internationalen ARRK Firmenverbundes undspezialisiert auf die Produktentwicklung. Innerhalb der ARRK-Firmengruppesetzen wir Produktentwicklungen von der virtuellen Entwicklung bis hin zumPrototypen und der Produktion in Kleinserien um. Du möchtest echte KI‑ und Automatisierungslösungen erstellen statt nur über Ideen zu sprechen? Bei uns entwickelst Du maßgeschneiderte KI‑ und Automatisierungslösungen, entwirfst moderne skalierbare Cloud‑Architekturen und setzt eigene KI‑Services oder Agenten um. Wenn Du gerne nah an Kunden arbeitest, komplexe technische Anforderungen in klare Konzepte übersetzt und Projekte von der Idee bis zum produktiven Betrieb begleiten willst, findest ...
Mehrjährige Berufserfahrung als Software Engineer, Senior Engineer oder Architect. * ARRK Engineering GmbH * München * Feste Anstellung * Vollzeit - Sei einer der ersten Bewerber - Schnelle Bewerbung - ARRK Engineering ist Teil des internationalen ARRK Firmenverbundes undspezialisiert auf die Produktentwicklung. Innerhalb der ARRK-Firmengruppesetzen wir Produktentwicklungen von der virtuellen Entwicklung bis hin zumPrototypen und der Produktion in Kleinserien um. Du möchtest echte KI‑ und Automatisierungslösungen erstellen statt nur über Ideen zu sprechen? Bei uns entwickelst Du maßgeschneiderte KI‑ und Automatisierungslösungen, entwirfst moderne skalierbare Cloud‑Architekturen und setzt eigene KI‑Services oder Agenten um. Wenn Du gerne nah an Kunden arbeitest, komplexe technische Anforderungen in klare Konzepte übersetzt und Projekte von der Idee bis zum produktiven Betrieb begleiten willst, findest ...
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Furthermore, you will engineer and operate end-to-end AI systems, focusing on fine-tuning and scalable serving of modern AI models. We are shaping the future of domain-specific AI systems at the BMW Group by designing, training and operating new founation models. Our team sets standards for the safe and scalable AI in engineering and production. * You will architect cloud and hardware solutions to scale AI workloads across GPUs and accelerators, optimizing storage and networking for maximum throughput and cost control. * Additionally, you will design robust AI services and lead their integration into production-ready platforms, ensuring stability and performance. * Strong programming skills in Python with focus on building infrastructure-as-code environments, APIs, CI/CD pipelines and observability tools. * BMW Group * München * Feste Anstellung * Vollzeit - Everything starts with passion at the BMW Group.
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Join us as a Data Engineer (f/m/d) and help build scalable and secure data pipelines and processing workflows that enable efficient data movement and analytics across TÜV SÜD's platform landscape. * Develop and maintain ETL/ELT pipelines for both structured and unstructured data * Ensure the integrity, availability, and performance of data across ingestion and storage layers * Collaborate with and to translate business requirements into scalable data models * Automate and monitor data workflows across cloud and hybrid environments * Support data platform users and teams by troubleshooting and optimizing data pipelines and flows * Proficiency in at least one of the following technologies: SQL, Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Spark) * Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
Join us as a Data Engineer (f/m/d) and help build scalable and secure data pipelines and processing workflows that enable efficient data movement and analytics across TÜV SÜD's platform landscape. * Develop and maintain ETL/ELT pipelines for both structured and unstructured data * Ensure the integrity, availability, and performance of data across ingestion and storage layers * Collaborate with and to translate business requirements into scalable data models * Automate and monitor data workflows across cloud and hybrid environments * Support data platform users and teams by troubleshooting and optimizing data pipelines and flows * Proficiency in at least one of the following technologies: SQL, Python, Java, or Scala, as well as experience with data processing frameworks (e.g., Spark) * Experience with cloud-based data platforms (e.g., Microsoft Fabric, Databricks, Snowflake, GCP)
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