20 beste Stellen als engineer machine learning in münchen, by – aktuell auf Personalsuche

DevOps Platform Engineer (m/f/d) Munich
Prodig GmbH —München
- 65.000 € – 75.000 € pro Jahr
- Informatik
- Master
- AWS
11 Tage
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Apple —München
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Engineering Manager (m/f/d) Machine Learning
SIXT —München
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- Flexible Arbeitszeiten
Direkt bewerben
Senior Electromagnetic Simulation Engineer (Magnetics & RF) (f/m/d)
QuantumDiamonds GmbH —München
- Vollzeit
Direkt bewerben
AI/ML Compiler Engineer (f/m/d)
NXP Semiconductors —München
- Vollzeit
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- Informatik
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Internship Machine Learning (Synthetic Data Generation) (f/m/x)
ZEISS Group —München
- Vollzeit
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Knowledge and Ontology Engineer - Insurance (m/f/d)*
Munich Re —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Java
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IT Systems und Security Engineer (m/f/d)
autonomous-teaming —München
- Vollzeit
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Manufacturing Engineer CAD or Tooling Engineer CAD (m/f/d)
Isar Aerospace SE —Ottobrunn
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Computational Physicist
Proxima Fusion —München
- Vollzeit
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- Master
- C++
Quereinstieg als Prompt Engineer (m/w/d) – 100% remote
mycareernow GmbH —München
- Ab 50.000 € pro Jahr
- Teilzeit
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Senior Staff Engineer Analog Verification Methodology (f/m/div)
Infineon Technologies AG —München
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BMW —München
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Internship: Machine Learning (m/f/x)
osapiens —München
- 2.410 € pro Monat
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12 Tage
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Senior Agentic AI Engineer (f/m/x)
BMW —München
- Vollzeit
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Computer Vision Engineer – Object Detection (m/w/d)
autonomous-teaming —München
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Senior Applied AI / ML Application Engineer (f/m/x)
BMW —München
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Quantum Error Correction Engineer
IQM Finland Oy —München
- Doktorat
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- Forschungserfahrung

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engineer machine learning jobs near münchen, by

DevOps Platform Engineer (m/f/d) Munich

Prodig GmbH
München

Jetzt bewerben

Details zur Stelle

65.000 € – 75.000 € pro Jahr
vor 11 Tagen

Qualifikationen

CI/CD
Informatik
Kubernetes
Ansible
Master
AWS
Bachelor
Verteilte Systeme
Terraform
Erfahrung in der IT
Deutsch
Informationstechnologie

Vollständige Stellenbeschreibung

With highly motivated people, we develop sophisticated software systems that efficiently create long-term added value for our customers – this is what ProDIG GmbH stands for. As a digital consulting and service company, ProDIG supports many customers from diverse industries such as banking & FinTech, IT & telecommunications, aerospace and automotive.

We focus on trust and always have an open ear for our employees and customers. Our values such as humanity, solution orientation and a practical hands-on mentality form the foundation for the development of our young and dynamic company.

Shape the digital future with us as!

Salary: approx. €65,000 – €75,000 gross per annum

Your tasks:

Support the production deployment and operation of Kubernetes-based platforms across AWS and on-premises environments.
Design, implement, and continuously improve scalable, highly available cloud-native infrastructure.
Automate infrastructure provisioning, deployments, and operational workflows using GitOps, CI/CD, and Infrastructure as Code.
Develop and maintain monitoring, logging, and observability solutions to ensure platform reliability and performance.
Support the operation and optimization of MLOps platforms for production machine learning workloads.
Collaborate closely with software development and security teams to implement secure, resilient platform architectures.
Analyze, troubleshoot, and resolve complex infrastructure and platform issues while driving continuous improvements.
Contribute to the implementation of security, compliance, and operational best practices across the platform landscape.

Your profile:

Y Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a comparable qualification.
Experience in Site Reliability Engineering, Platform Engineering, Infrastructure Engineering, DevOps, or MLOps within complex IT environments.
Strong expertise in operating production Kubernetes platforms across AWS and on-premises infrastructures.
Tech Stack: Kubernetes, AWS, Linux, GitOps, CI/CD, Terraform, Ansible, Helm, ArgoCD and/or Flux, Grafana, Prometheus, Infrastructure as Code; experience with MLOps platforms is advantageous.
Solid understanding of cloud-native architectures, distributed systems, networking, and platform automation.
Knowledge of the German BSI IT-Grundschutz framework is considered an advantage.
Professional proficiency in English and German (C1 or higher).
Employment is subject to the successful completion of a security screening in accordance with applicable national security regulations; eligibility depends on the relevant legal requirements, including nationality-related restrictions where applicable.

Our Benefits:

It is important to us that you not only develop professionally as part of our team, but also feel good personally. That’s why we offer individual benefits that are tailored to your needs – because with us, you count as a unique person.

Contact:

ProDIG offers you the opportunity of an exciting career in a highly innovative, digital-technological environment. We will be happy to assist and answer your questions at any time. We are looking forward to your application!

Important note:

Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered.

Jetzt bewerben

Erweiterte Suche

engineer machine learning Jobs in münchen, by

DevOps Platform Engineer (m/f/d) Munich

Early Career Analog Mixed-Signal Modeling Software Engineer (m/f/d)

Internship in Machine Learning, Visual Language (Action) Models (f/m/x)

Engineering Manager (m/f/d) Machine Learning

Senior Electromagnetic Simulation Engineer (Magnetics & RF) (f/m/d)

AI/ML Compiler Engineer (f/m/d)

Internship Machine Learning (Synthetic Data Generation) (f/m/x)

Knowledge and Ontology Engineer - Insurance (m/f/d)*

IT Systems und Security Engineer (m/f/d)

Manufacturing Engineer CAD or Tooling Engineer CAD (m/f/d)

Computational Physicist

Quereinstieg als Prompt Engineer (m/w/d) – 100% remote

Senior Staff Engineer Analog Verification Methodology (f/m/div)

Senior MLOps Engineer - Autonomous Driving Platform (f/m/x)

Internship: Machine Learning (m/f/x)

UAV Test Pilot & Flight Test Engineer (m/f/d)

Senior Agentic AI Engineer (f/m/x)

Computer Vision Engineer – Object Detection (m/w/d)

Senior Applied AI / ML Application Engineer (f/m/x)

Quantum Error Correction Engineer

Ich möchte aktuelle Job-E-Mails für Stellen als engineer machine learning in münchen, by erhalten

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