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40 Treffer für Machine Learning Research Engineer Jobs
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We are looking to strengthen our team with one additional Senior Machine Learning Research Engineer (m/f/d) role. In this role, you will work on all aspects of our cutting-edge machine learning pipeline for intraday price predictions (dataset creation, model training, model evaluation, model deployment). * Improve all aspects of our current machine learning pipeline for intraday price predictions: dataset creation, dataset loading, model training, model evaluation, and model deployment * Strong foundation in machine learning, particularly deep learning and sequence models * Improve and create tooling and infrastructure to make the above super easy and fast (for example, tooling to provision GPU machines or tooling to evaluate models across many different benchmarks quickly) Thissenior position requires a minimum of 2 years experience within the deep learning field.
We are looking to strengthen our team with one additional Senior Machine Learning Research Engineer (m/f/d) role. In this role, you will work on all aspects of our cutting-edge machine learning pipeline for intraday price predictions (dataset creation, model training, model evaluation, model deployment). * Improve all aspects of our current machine learning pipeline for intraday price predictions: dataset creation, dataset loading, model training, model evaluation, and model deployment * Strong foundation in machine learning, particularly deep learning and sequence models * Improve and create tooling and infrastructure to make the above super easy and fast (for example, tooling to provision GPU machines or tooling to evaluate models across many different benchmarks quickly) Thissenior position requires a minimum of 2 years experience within the deep learning field.
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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. Join a small, focused team building the core algorithms behind our products, where you'll take full ownership of the machine learning lifecycle. * Data-centric machine learning: Build, curate, and refine custom datasets and complex audio simulation pipelines for training and evaluation to understand and improve model performance for real-world production use-cases. * 3+ years of hands-on experience solving non-trivial machine learning problems end-to-end — including data collection/simulation, training, evaluation, debugging, and deployment in real systems.
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. Join a small, focused team building the core algorithms behind our products, where you'll take full ownership of the machine learning lifecycle. * Data-centric machine learning: Build, curate, and refine custom datasets and complex audio simulation pipelines for training and evaluation to understand and improve model performance for real-world production use-cases. * 3+ years of hands-on experience solving non-trivial machine learning problems end-to-end — including data collection/simulation, training, evaluation, debugging, and deployment in real systems.
Noch nichts dabei? Es gibt 38 weitere Jobs, die zu deiner Suche passen könnten
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Schnelle Bewerbung
The Role: As AI Architect / Machine Learning Engineer, you will drive the development and deployment of sophisticated AI systems that are revolutionizing healthcare diagnostics. * Lead the creation of robust AI infrastructure, providing a fertile ground for machine learning advancements. * Stay informed on AI research trends, particularly in Safe AI, Ethical AI, and Fair AI.
The Role: As AI Architect / Machine Learning Engineer, you will drive the development and deployment of sophisticated AI systems that are revolutionizing healthcare diagnostics. * Lead the creation of robust AI infrastructure, providing a fertile ground for machine learning advancements. * Stay informed on AI research trends, particularly in Safe AI, Ethical AI, and Fair AI.
NEU
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Our developers come from diverse backgrounds, from research and data science to large-scale production systems, and share a simple principle: build things that work beautifully. As a working student, you'll develop and ship features end to end, learn from experienced engineers, and see your work make a visible difference. * Proprietary ML systems, not off-the-shelf magic: Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge. * From research to production: You'll help bring models into production, monitor their performance, analyze failure modes, and iterate based on real customer behavior. * Learn by doing, together: Exchange code reviews with senior ML engineers, discuss modeling decisions, and learn how production ML actually works in a fast-moving startup. * Apply state of the art ML research
Our developers come from diverse backgrounds, from research and data science to large-scale production systems, and share a simple principle: build things that work beautifully. As a working student, you'll develop and ship features end to end, learn from experienced engineers, and see your work make a visible difference. * Proprietary ML systems, not off-the-shelf magic: Help develop, improve, and extend our in-house forecasting pipeline that blends deep learning, random forests, and domain knowledge. * From research to production: You'll help bring models into production, monitor their performance, analyze failure modes, and iterate based on real customer behavior. * Learn by doing, together: Exchange code reviews with senior ML engineers, discuss modeling decisions, and learn how production ML actually works in a fast-moving startup. * Apply state of the art ML research
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We research the latest technologies to make production and maintenance processes even more efficient. In doing so, we place particular focus on the collaboration between humans and machines.
We research the latest technologies to make production and maintenance processes even more efficient. In doing so, we place particular focus on the collaboration between humans and machines.
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Join our innovative development team and shape the future of intelligent technology as an AI Engineer (m/f/d), where your ideas turn cutting-edge research into real-world impact. * Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability * Solid experience (3+ years) in applied machine learning ideally for sensor‑based systems, e. g. in robotics (perception, control, or monitoring) As a spin-off of InnovationLab GmbH, we combine research excellence with industrial manufacturing expertise. * Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc)
Join our innovative development team and shape the future of intelligent technology as an AI Engineer (m/f/d), where your ideas turn cutting-edge research into real-world impact. * Combine physical models with data‑driven approaches (hybrid / physics‑informed machine learning) to improve robustness and interpretability * Solid experience (3+ years) in applied machine learning ideally for sensor‑based systems, e. g. in robotics (perception, control, or monitoring) As a spin-off of InnovationLab GmbH, we combine research excellence with industrial manufacturing expertise. * Collaborate with hardware, firmware, and systems engineers to integrate sensor electronics, data acquisition, and AI inference into real devices (battery stacks, robots, etc)
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Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing * Strong foundation of machine learning concepts and technologies - As a (Senior) Software Engineer at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for wide range of automotive hardware and OS platforms such as Android Automotive OS (AAOS) and Linux. * Focus on model research, development and tuning
Experience in the areas of NLP, Machine Learning, Deep Learning, Data Preprocessing * Strong foundation of machine learning concepts and technologies - As a (Senior) Software Engineer at Cinemo, you will play a critical role in the development and enhancement of our AI/ML powered applications for wide range of automotive hardware and OS platforms such as Android Automotive OS (AAOS) and Linux. * Focus on model research, development and tuning
NEU
As a Machine Learning Engineer, you work on the development of robust perception and AI systems for industrial and robotic applications. * Solid understanding of machine learning fundamentals and the ability to critically evaluate research papers - You confidently operate at the intersection of research and engineering, train models independently, translate cutting-edge research into prototypes, and integrate them into production-ready systems. We are looking for a broadly skilled profile across multiple AI disciplines, with deep expertise in at least one core area (e.g., Computer Vision, Deep Learning, or NLP). Prototypical implementation of state-of-the-art research approaches and transfer of research into production-ready solution * Apply and further develop classical and deep learning–based computer vision methods
As a Machine Learning Engineer, you work on the development of robust perception and AI systems for industrial and robotic applications. * Solid understanding of machine learning fundamentals and the ability to critically evaluate research papers - You confidently operate at the intersection of research and engineering, train models independently, translate cutting-edge research into prototypes, and integrate them into production-ready systems. We are looking for a broadly skilled profile across multiple AI disciplines, with deep expertise in at least one core area (e.g., Computer Vision, Deep Learning, or NLP). Prototypical implementation of state-of-the-art research approaches and transfer of research into production-ready solution * Apply and further develop classical and deep learning–based computer vision methods
NEU
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NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. Furthermore, you will be part of a vibrant ecosystem, working closely with leading , library, and systems teams-including experts behind nvFuser, TVM, XLA, and CUDA-to translate the latest research into practical, high-impact solutions for the open-source - We are looking for engineers who are excited about building powerful, -centric tools and are comfortable working in a fast-paced, collaborative environment. * Hands-on experience with deep learning frameworks like PyTorch or JAX. * Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.
NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. Furthermore, you will be part of a vibrant ecosystem, working closely with leading , library, and systems teams-including experts behind nvFuser, TVM, XLA, and CUDA-to translate the latest research into practical, high-impact solutions for the open-source - We are looking for engineers who are excited about building powerful, -centric tools and are comfortable working in a fast-paced, collaborative environment. * Hands-on experience with deep learning frameworks like PyTorch or JAX. * Previous contributions to deep learning compiler projects (e.g., TVM, MLIR, IREE) or deep learning frameworks themselves.
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We are looking for a highly skilled Senior AI/ML Engineer (AI Lead) to take ownership of Custom Surgical's AI technical direction and help translate real-world clinical data into robust, scalable AI systems. * Mentor and support junior and mid-level AI/ML engineers through reviews, guidance, and technical leadership; * Strong experience as an AI/ML Engineer working on production-grade systems; * Solid background in computer vision and deep learning; * Experience taking ML models from research to production environments;
We are looking for a highly skilled Senior AI/ML Engineer (AI Lead) to take ownership of Custom Surgical's AI technical direction and help translate real-world clinical data into robust, scalable AI systems. * Mentor and support junior and mid-level AI/ML engineers through reviews, guidance, and technical leadership; * Strong experience as an AI/ML Engineer working on production-grade systems; * Solid background in computer vision and deep learning; * Experience taking ML models from research to production environments;
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. 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++. * Nice to have: A solid understanding of modern machine learning development workflows and how data and evaluation choices influence ML system behavior.
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. 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++. * Nice to have: A solid understanding of modern machine learning development workflows and how data and evaluation choices influence ML system behavior.
Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements - This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. * Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions * Provide technical leadership, mentorship, and guidance to the AI team and internal research projects, fostering a culture of innovation and excellence * Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation * Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable
Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements - This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. * Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions * Provide technical leadership, mentorship, and guidance to the AI team and internal research projects, fostering a culture of innovation and excellence * Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation * Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable
NEU
Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements - This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. * Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions * Provide technical leadership, mentorship, and guidance to the AI team and internal research projects, fostering a culture of innovation and excellence * Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation * Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable
Partner with machine learning engineers, product managers, and executives to translate data insights into tangible business and product improvements - This role requires a deep understanding of statistics, machine learning, and the ability to communicate results and insights to a range of audiences. * Design and conduct statistical studies and data analysis to evaluate the impact of internally adopted AI tools, research, and engineering results and to create interpretable insights and make data-driven decisions * Provide technical leadership, mentorship, and guidance to the AI team and internal research projects, fostering a culture of innovation and excellence * Hands-on experience with neural network analysis, deep learning frameworks (e.g., TensorFlow, PyTorch), and model evaluation * Knowledge in natural language processing (NLP), reinforcement learning, and graph analytics is preferable
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Machine Learning Engineer (m/w/d) – AI-Features, Agenten & Multi Agenten Workflows
Machine Learning Engineer (m/w/d) – AI-Features, Agenten & Multi Agenten Workflows
Deutsches Medizinrechenzentrum GmbH
Düsseldorf
Teilweise Home-Office
Machine Learning Engineer (m/w/d) – AI-Features, & Multi Agenten Workflows
Machine Learning Engineer (m/w/d) – AI-Features, & Multi Agenten Workflows
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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 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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Du erstellst hochautomatisierte Anwendungen für unsere Kund:innen (z. B. durch Agenten, Machine Learning und Prompt Engineering).
Du erstellst hochautomatisierte Anwendungen für unsere Kund:innen (z. B. durch Agenten, Machine Learning und Prompt Engineering).
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(Senior) AI- / Machine Learning-Engineer (m/w/d)
(Senior) AI- / Machine Learning-Engineer (m/w/d)
RTL2 Fernsehen GmbH & Co. KG
Grünwald
Teilweise Home-Office
Unser Data-Science-Team treibt anspruchsvolle Data- und Machine-Learning-Projekte im Medienumfeld voran. Als TV-Sender und digitales Medienhaus nutzen wir Machine Learning zur Contentanalyse, Contentautomatisierung, Qualitätssicherung und Planungsautomatisierung in unserem Content Hub. * Zusammen mit unseren Architekten implementierst du container- und cloudbasierte Lösungen (z. B. Docker, Kubernetes, EKS) zur Bereitstellung unserer Machine-Learning-Services * Sehr sicherer Umgang mit Python und SQL sowie Erfahrung in der produktiven Nutzung von Machine-Learning-Modellen und -Verfahren * Gemeinsam mit Cloud Experts, Data Scientists und Data Engineers integrierst du KI-Modelle in unser Content Hub
Unser Data-Science-Team treibt anspruchsvolle Data- und Machine-Learning-Projekte im Medienumfeld voran. Als TV-Sender und digitales Medienhaus nutzen wir Machine Learning zur Contentanalyse, Contentautomatisierung, Qualitätssicherung und Planungsautomatisierung in unserem Content Hub. * Zusammen mit unseren Architekten implementierst du container- und cloudbasierte Lösungen (z. B. Docker, Kubernetes, EKS) zur Bereitstellung unserer Machine-Learning-Services * Sehr sicherer Umgang mit Python und SQL sowie Erfahrung in der produktiven Nutzung von Machine-Learning-Modellen und -Verfahren * Gemeinsam mit Cloud Experts, Data Scientists und Data Engineers integrierst du KI-Modelle in unser Content Hub
NEU
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. * 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.
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Werde Teil unseres Teams und starte bei der Allgeier Public ab Juli als KI / MLOps Plattform Engineer (m/w/d), 100% Remote.
Werde Teil unseres Teams und starte bei der Allgeier Public ab Juli als KI / MLOps Plattform Engineer (m/w/d), 100% Remote.
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Du bist Experte in den Themen KI und Machine Learning und möchtest Dein Wissen in einem innovativen Unternehmen einsetzen und einen Beitrag zur Energiewende leisten?
Du bist Experte in den Themen KI und Machine Learning und möchtest Dein Wissen in einem innovativen Unternehmen einsetzen und einen Beitrag zur Energiewende leisten?
NEU
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Snowflake Senior Data Engineer (m/w/d)
Snowflake Senior Data Engineer (m/w/d)
INFOMOTION GmbH
Frankfurt am Main, Köln, Hamburg, München
Teilweise Home-Office
INFOMOTION GmbH * Frankfurt am Main, Köln, Hamburg, München * Feste Anstellung * Homeoffice möglich, Vollzeit - Sei einer der ersten Bewerber - Erfolg beginnt dort, wo Erfahrung auf Exzellenz trifft – und Daten echte Wirkung erzeugen. Wir sind die AI & Data Performance Company – mit über 750 Datenenthusiastinnen und -enthusiasten in Deutschland, Österreich, der Schweiz, Polen und Rumänien, die Datenpotenzial entfesseln und den größtmöglichen Nutzen aus Daten schaffen. Unsere Teams arbeiten länderübergreifend daran, unsere Kunden in der datengetriebenen Weiterentwicklung ihrer Geschäftsmodelle zu unterstützen. Als einer der wenigen Snowflake ELITE Partner weltweit arbeitest Du bei uns direkt an der Spitze der Dateninnovation – im engen Austausch mit Snowflake-Teams, mit Zugang zu neuen Features und echten Gestaltungsspielräumen.
INFOMOTION GmbH * Frankfurt am Main, Köln, Hamburg, München * Feste Anstellung * Homeoffice möglich, Vollzeit - Sei einer der ersten Bewerber - Erfolg beginnt dort, wo Erfahrung auf Exzellenz trifft – und Daten echte Wirkung erzeugen. Wir sind die AI & Data Performance Company – mit über 750 Datenenthusiastinnen und -enthusiasten in Deutschland, Österreich, der Schweiz, Polen und Rumänien, die Datenpotenzial entfesseln und den größtmöglichen Nutzen aus Daten schaffen. Unsere Teams arbeiten länderübergreifend daran, unsere Kunden in der datengetriebenen Weiterentwicklung ihrer Geschäftsmodelle zu unterstützen. Als einer der wenigen Snowflake ELITE Partner weltweit arbeitest Du bei uns direkt an der Spitze der Dateninnovation – im engen Austausch mit Snowflake-Teams, mit Zugang zu neuen Features und echten Gestaltungsspielräumen.
NEU
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Senior AI Software Engineer (m/w/d) für Halbleiter-Messtechnik (Machine Learning, Edge AI, Deep Learning)
Senior AI Software Engineer (m/w/d) für Halbleiter-Messtechnik (Machine Learning, Edge AI, Deep Learning)
Camtek FRT Metrology
Bergisch Gladbach
Teilweise Home-Office
Mehrjährige praktische Erfahrung in Machine Learning / Deep Learning, idealerweise im Umfeld Computer Vision und produktionsnaher Systeme * Entwicklung und Produktisierung von KI-Softwarekomponenten für optische Metrologie (Deep Learning, Edge Learning, Signal Processing, Computer Vision)
Mehrjährige praktische Erfahrung in Machine Learning / Deep Learning, idealerweise im Umfeld Computer Vision und produktionsnaher Systeme * Entwicklung und Produktisierung von KI-Softwarekomponenten für optische Metrologie (Deep Learning, Edge Learning, Signal Processing, Computer Vision)
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Pipeline-Optimierung: Du entwirfst und optimierst Deployment-Pipelines, um eine nahtlose Integration und Skalierung von Machine-Learning-Modellen zu ermöglichen. * Erfahrung & Fundament: Du verfügst über eine solide Basis im Software Engineering und Machine Learning. * ML-Interesse: Du hast ein grundlegendes Verständnis von Deep Learning und KI-Workflows.
Pipeline-Optimierung: Du entwirfst und optimierst Deployment-Pipelines, um eine nahtlose Integration und Skalierung von Machine-Learning-Modellen zu ermöglichen. * Erfahrung & Fundament: Du verfügst über eine solide Basis im Software Engineering und Machine Learning. * ML-Interesse: Du hast ein grundlegendes Verständnis von Deep Learning und KI-Workflows.
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Senior AI/ML Engineer (m/w/d)
Senior AI/ML Engineer (m/w/d)
S-Payment GmbH - Ein Unternehmen der DSV-Gruppe
Stuttgart, Frankfurt am Main
Teilweise Home-Office
Anschreiben nicht erforderlich
Abgeschlossenes Studium in Informatik, Data Science, Mathematik, Physik oder einem verwandten Fachgebiet, mit mindestens 8–10 Jahre Berufserfahrung im Bereich Data Science, Machine Learning oder Künstliche Intelligenz.
Abgeschlossenes Studium in Informatik, Data Science, Mathematik, Physik oder einem verwandten Fachgebiet, mit mindestens 8–10 Jahre Berufserfahrung im Bereich Data Science, Machine Learning oder Künstliche Intelligenz.
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Mehr als 3 Jahre Erfahrung als Machine Learning Engineer, Data Engineer oder in einer ähnlichen Funktion mit starkem ML-Hintergrund - Was jetzt noch fehlt, bist Du- ein(e) eloquenter(r) Data / Machine Learning Engneer Ops mit Knowhow, Leidenschaft und Kreativität! Wir suchen einen Meister des Machine Learnings, der es versteht, komplexe Projekte agil und erfolgreich durchzuführen. * Datenmodellierung zur Unterstützung des Trainings von Machine-Learning-Modellen
Mehr als 3 Jahre Erfahrung als Machine Learning Engineer, Data Engineer oder in einer ähnlichen Funktion mit starkem ML-Hintergrund - Was jetzt noch fehlt, bist Du- ein(e) eloquenter(r) Data / Machine Learning Engneer Ops mit Knowhow, Leidenschaft und Kreativität! Wir suchen einen Meister des Machine Learnings, der es versteht, komplexe Projekte agil und erfolgreich durchzuführen. * Datenmodellierung zur Unterstützung des Trainings von Machine-Learning-Modellen
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