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

R&D Engineer – AI Integration (m/f/d)
Advantest —München
- Azure
- Informatik
- Datenanalyse
Agentic AI Engineer (f/m/x)
BMW —München
- Vollzeit
- Azure
- Informatik
- DevOps
- Flexible Arbeitszeiten
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Hirefive ltd —München
- 50.000 € – 90.000 € pro Jahr
- Vollzeit
- Linux
- Künstliche Intelligenz
- Python
Direkt bewerben
Internship in Machine Learning, Visual Language (Action) Models (f/m/x)
ZEISS Group —München
- Vollzeit
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- Master
- Präsentationserfahrung
Internship Machine Learning (Synthetic Data Generation) (f/m/x)
ZEISS Group —München
- Vollzeit
- Informatik
- Master
- Präsentationserfahrung
Knowledge and Ontology Engineer - Insurance (m/f/d)*
Munich Re —München
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Java
- APIs
Quereinstieg als Prompt Engineer (m/w/d) – 100% remote
mycareernow GmbH —München
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
Internship: Machine Learning (m/f/x)
osapiens —München
- 2.410 € pro Monat
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Machine Learning
- Künstliche Intelligenz
Direkt bewerben
12 Tage
Senior Agentic AI Engineer (f/m/x)
BMW —München
- Vollzeit
- Azure
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Computer Vision Engineer – Object Detection (m/w/d)
autonomous-teaming —München
- Vollzeit
- Python
Direkt bewerben
Senior Applied AI / ML Application Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Java
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Data Engineer (m/w/d) Azure & Databricks | Cloud & Streaming
Steadforce —München
- Vollzeit
- Azure
- Informatik
- Englisch
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
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GenAI Engineer (m/w/d)
attempto GmbH & Co. KG —München
- Teilzeit
- Azure
- Englisch
- Master
Senior Data Scientist - Trading (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
AI Acoustic Engineer (m/f/d) – UAV Localization & Signal Processing
autonomous-teaming —München
- Vollzeit
- Militär
- C++
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Direkt bewerben
Senior Data Scientist - Dispatch (d/f/m)
Flexa —München
- 95.000 € – 115.000 € pro Jahr
- Vollzeit
- Forschungserfahrung
- AWS
- Machine Learning
Direkt bewerben
Senior Applied AI / ML Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Senior AI/ML Engineer (F/M/D)
Animore —München
- Vollzeit
- Doktorat
- Systemdesign
- Englisch
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Lead AI Engineer (m/w/d)
OMMAX GmbH —München
- Informatik
- Englisch
- Master
Senior AI Engineer - Human-Like Behaviour (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten

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machine learning engineer jobs near münchen, by

R&D Engineer – AI Integration (m/f/d)

Advantest -
München

Jetzt bewerben

Details zur Stelle

Qualifikationen

Azure
Informatik
PyTorch
NumPy
Datenanalyse
Git
Java
Master
Pandas
AWS
C++
Docker
Bachelor
Machine Learning
Computerlinguistik
Linux
Eclipse
Elektrotechnik
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Role Overview:

As an R&D Engineer, you will work on cutting-edge AI and machine learning solutions, with a focus on Large Language Models (LLMs), to enhance semiconductor testing and electrotechnical systems. You will design, implement, and optimize end-to-end AI pipelines, integrating LLM-driven tools into testing workflows and contributing to the development of advanced semiconductor test automation.

Key Responsibilities:

Design, implement, test, and continuously optimize end-to-end RAG (retrieval-augmented generation) pipelines, including data parsing, ingestion, prompt engineering, and chunking strategies
Integrate AI components with existing systems, requiring experience in Java and familiarity with Eclipse
Curate and develop high-quality datasets, including synthetic data generation for robust training and evaluation of LLMs
Preprocess datasets, fine-tune open-source LLMs (e.g., LLaMA, Mistral), and integrate RAG systems into semiconductor testing pipelines
Rigorously evaluate LLM applications on correctness, latency, and hallucination metrics
Assist in deploying LLM-based applications, analyze user feedback, and contribute to iterative improvements
Write clean, maintainable, and testable code following software engineering best practices
Collaborate with cross-functional agile teams to translate customer requirements into prototype solutions, with opportunities to lead smaller sub-projects
Analyze semiconductor testing data (parametric measurements, yield logs) using statistical methods and visualization tools
Contribute to MLOps workflows for model training, evaluation, and deployment using Python frameworks (PyTorch, Hugging Face) and cloud platforms (AWS/Azure)
Integrate AI components with existing systems, requiring experience in Java, C++ and familiarity with Eclipse
Work in Linux environments and handle command-line tools, scripting, and system operations

Requirements:

University degree in Data Science, Computer Science, Electrical Engineering, or a related field (Master's preferred, Bachelor's with 5+ years' experience accepted)
Experience with Advantest V93000 test systems / SmarTest 8
Experience in Eclipse Plugin development
2-4 years of hands-on experience in machine learning, including coursework or practical work with NLP or LLMs
Proficiency in Python for data analysis (Pandas, NumPy) and ML model development (scikit-learn, PyTorch)
Experience programming in Java and C++
Strong understanding of Linux, including command-line usage, system navigation, and scripting
Familiarity with LLM concepts: transformer architectures, prompt engineering, text generation techniques
Foundational knowledge of MLOps practices: version control (Git/DVC), containerization (Docker), and cloud deployment
Experience with Jupyter notebooks / VS Code
Strong communication skills in English; ability to document technical work clearly
Exposure to semiconductor testing data or industrial IoT datasets
Experience with RAG systems, LLM fine-tuning workflows (LoRA, QLoRA)
Familiarity with integrating AI components into existing test platform codebases
Elementary German proficiency

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Erweiterte Suche

machine learning engineer Jobs in münchen, by

R&D Engineer – AI Integration (m/f/d)

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

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