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

Senior AI Engineer (m/f/d)
Artefact —München
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
7 Tage
Senior AI Engineer - Human-Like Behaviour (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
AI Engineer (w|m|d)
BridgingIT GmbH —München
- 50.000 € – 80.000 € pro Jahr
- Vollzeit
- Azure
- SQL
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
Senior AI/ML Engineer (F/M/D)
Animore —München
- Vollzeit
- Doktorat
- Systemdesign
- Englisch
Direkt bewerben
GenAI Engineer (m/w/d)
attempto GmbH & Co. KG —München
- Teilzeit
- Azure
- Englisch
- Master
AI Internship / Working Student
Resaro AI —München
- Hybrides Arbeiten
- Informatik
- Master
- Bachelor
Direkt bewerben
Data Science Intern (all genders)
SKD SE —München
- Teilzeit
- Azure
- Informatik
- Datenanalyse
11 Tage
Senior Applied AI / ML Data Engineer (f/m/x)
BMW —München
- Vollzeit
- Informatik
- Machine Learning
- Künstliche Intelligenz
- Flexible Arbeitszeiten
Computer Vision & AI Engineer - Interceptor C‑UAS (m/f/d)
Quantum-Systems GmbH —Gilching
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Direkt bewerben
ML Data Engineer (m/f/d) - Sensor Data & Pipelines
autonomous-teaming —München
- Vollzeit
- AWS
- Python
Direkt bewerben
14 Tage
Intern Agentic AI for Cockpit Development (f/m/x)
BMW —München
- Vollzeit
- Informatik
- CAD
- Scripting
- Flexible Arbeitszeiten
Head of Data Science
Flexa —München
- 140.000 € – 200.000 € pro Jahr
- Vollzeit
- Informatik
- Master
- Machine Learning
Direkt bewerben
Ranking Expert / Ranking Engineer (m/w/d)
Ludwig-Maximilians-Universität München —München
- Teilzeit
- Datenanalyse
- Englisch
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben
AI Process & Agent Solutions Engineer (m/w/d)
C-P-S Group —München
- Vollzeit
- Informatik
- Englisch
- SQL
- Homeoffice-Möglichkeit
- Mitarbeiter-Rabatt
Direkt bewerben
7 Tage
(Senior) AI Engineer / MLOps Engineer (m/f/d)
VESTIGAS GmbH —München
- Vollzeit
- Azure
- Informatik
- Master
Direkt bewerben
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
Senior AI Engineer
deeploi GmbH —München
- Vollzeit
- Master
- Machine Learning
- APIs
Direkt bewerben
5 Tage
Software Engineer, Data Platform
Tools for Humanity —München
- Vollzeit
- Systemdesign
- SQL
- AWS
Intern Enterprise AI Team
Proxima Fusion —München
- Vollzeit
- Homeoffice
- Master
- APIs
- Künstliche Intelligenz
Azure Data Factory & Spark Data Engineer (w|m|d)
BridgingIT GmbH —München
- 50.000 € – 79.000 € pro Jahr
- Vollzeit
- Homeoffice
- Azure
- SQL
- Machine Learning
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Direkt bewerben

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machine learning engineer jobs near münchen, by

Senior AI Engineer (m/f/d)

Artefact -
München

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 7 Tagen

Leistungen

Firmenevents
Flexible Arbeitszeiten

Qualifikationen

CI/CD
Azure
Informatik
Kubernetes
Kundenberatung
DevOps
Datenanalyse
Google Cloud Platform
AWS
Docker
Machine Learning
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Artefact, a global AI and data consulting company with rapid growth, is looking for a creative and tech-savvy Senior AI Engineer (m/f/d) to join the tech team full-time. Ideally, you are located in Hamburg, Munich, Berlin or nearby - but if you're based elsewhere in Germany and a great fit, we would still love to hear from you. Could this be you?

Our data & AI experts develop production-ready, scalable solutions that bring real business value to our clients. You'll work in interdisciplinary teams of data scientists, engineers, analysts and consultants to shape the future of data- and AI-driven products.

Your responsibilities:

Innovate.
You'll help identify business needs, explore data and AI use cases, and drive projects from idea to production - whether it's a proof-of-concept or a scalable solution.

Build.
You'll own your work end-to-end - from concept and architecture to implementation, optimization, and delivery. You design smart, robust solutions using data or LLMs and other AI technologies.

Train.
You'll stay ahead of the curve - experimenting with new models, prompt engineering, fine-tuning, and tools. You'll also share your knowledge within the team and benefit from our partners' training offers (Google, AWS, etc.).

Collaborate.
You'll work closely with clients, product owners, and non-technical stakeholders, balancing technical excellence with practical business impact.

Gain broad experience:

Work on 1-3 projects per year across different industries and use cases - from customer service automation to knowledge management and internal tools.
Build real-world data and AI applications using modern tools like LangChain, PydanticAI, MCP servers, RAG pipelines, vector databases (e.g. FAISS, Weaviate), LlamaIndex, Vertex AI, OpenAI APIs, and Hugging Face models.
Shape the way clients use data and AI, driving innovation and best practices in production environments.

Your mindset:

Curious & forward-thinking. You are passionate about solving complex problems using cutting-edge AI and data technologies.
Hands-on. You have experience with LLMs (e.g. OpenAI, Claude, Gemini, LLaMA), prompt engineering, API integration, and ML frameworks.
Holistic. You understand the full ML lifecycle, including data preparation, model deployment, evaluation, and monitoring.
Communicative. You can break down technical concepts for diverse audiences in English and ideally in German as well.
Supportive. You coach junior team members, provide constructive feedback, and actively contribute to our culture of learning.

Profile:

Degree in computer science, AI, data science or similar field.
Experience: 3+ years of experience in machine learning or AI engineering, with hands-on AI projects in production.
Proficiency in Python and cloud-based AI services (GCP, AWS, or Azure).
Solid understanding of data analysis/engineering and AI-specific components like RAG, prompt design, fine-tuning, embeddings, and model evaluation.
Familiar with DevOps and ML-Ops best practices (Docker, Kubernetes, CI/CD).
Strong problem-solving skills, a sense of ownership, and a structured approach to work.
Languages: Business-fluent German and English (both written and spoken) are mandatory to participate in client workshops and deliver polished presentations.
Work Eligibility: A valid work permit for Germany.

Why ARTEFACT?

Challenging projects with national and international clients across industries (e.g. L'Oréal, Samsung, Allianz, Sanofi).
Diverse career paths, promotions based on your performance - not tenure.
Strong team culture and real collaboration across disciplines.
Personal development through workshops, certifications, coaching, and access to partner programs (Google, AWS, etc.).
Attractive benefits: hybrid work, flexible hours, 1 additional day off for your birthday, Christmas & New Year's Eve off, mental health support, 4 weeks of workation, corporate benefits, office brunch, team events, and more.

Let's shape the future of AI - together!

Don't worry if you don't meet all the criteria! At Artefact, we value motivation, pragmatic problem-solving, and potential above all else. If you are excited about shaping the future of AI and ready to make a real impact, we'd love to hear from you.

Artefact is a global consulting company specializing in data and AI services, headquartered in Paris. With 2,000+ consultants, data scientists, and engineers across 26 countries, we work with global market leaders. At our German offices, we are on a rapid growth trajectory, advising leading national and international clients cross-industry on how to unlock the full potential of their data, build scalable data architectures, and implement cutting-edge AI solutions. Artefact is dedicated to leveraging data and AI to enhance organizations and their people.

We believe that unique perspectives fuel innovation. At Artefact, we are committed to creating an inclusive environment where everyone can thrive. We welcome and consider all applications purely based on merit, skills, and potential - regardless of gender identity, sexual orientation, race, ethnicity, religion, age, background, or disability. Come as you are!

Curious to learn more? Reach out to us at: [email protected].

Jetzt bewerben

Erweiterte Suche

machine learning engineer Jobs in münchen, by

Senior AI Engineer (m/f/d)

Senior AI Engineer - Human-Like Behaviour (f/m/x)

AI Engineer (w|m|d)

Senior AI/ML Engineer (F/M/D)

GenAI Engineer (m/w/d)

AI Internship / Working Student

Data Science Intern (all genders)

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

Computer Vision & AI Engineer - Interceptor C‑UAS (m/f/d)

ML Data Engineer (m/f/d) - Sensor Data & Pipelines

Intern Agentic AI for Cockpit Development (f/m/x)

Head of Data Science

Ranking Expert / Ranking Engineer (m/w/d)

AI Process & Agent Solutions Engineer (m/w/d)

(Senior) AI Engineer / MLOps Engineer (m/f/d)

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

Senior AI Engineer

Software Engineer, Data Platform

Intern Enterprise AI Team

Azure Data Factory & Spark Data Engineer (w|m|d)

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