17 beste Stellen als machine learning engineer (m/w/d) in berlin, be – aktuell auf Personalsuche

Senior AI Engineer (m/f/d)
Artefact —Berlin
- Vollzeit
- Azure
- Informatik
- Kundenberatung
- Flexible Arbeitszeiten
2 Tage
Data Engineer (all genders)
GROPYUS —Berlin
- Machine Learning
- Künstliche Intelligenz
- Führungserfahrung
- Homeoffice-Möglichkeit
Direkt bewerben
1 Tag
Team Lead Data Science (f/m/x)
Enpal —Berlin
- Vollzeit
- Azure
- Informatik
- Forschungserfahrung
Direkt bewerben
10 Tage
Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
Direkt bewerben
Quereinsteiger Physiker / Mathematiker als Software Engineer Data & AI (mwd)
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Englisch
- Machine Learning
- Künstliche Intelligenz
- Erfolgsbeteiligung
- Flexible Arbeitszeiten
Senior Data Scientist – Python, ML & Signal-Processing
DATATRONiQ —Berlin
- Doktorat
- Informatik
- Englisch
Senior Data Engineer - Databricks (m/f/*)
Ultra Tendency —Berlin
- Montag bis Freitag
- Homeoffice
- Azure
- SQL
- AWS
- Umzugskostenzuschuss
Direkt bewerben
Data Scientist (m/w/d) // Remote möglich
E. Breuninger GmbH & Co. —Berlin
- Per E-Mail
- Persönlich
- Azure
- Datenanalyse
- Englisch
- Homeoffice-Möglichkeit
Direkt bewerben
4 Tage
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
3 Tage
Data Engineer
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Informatik
- Java
Direkt bewerben
4 Tage
GENAI PLATFORM ENGINEER (M/W/D)
Berlin, Düsseldorf, Hamburg, Hybrid, Köln, München —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
Senior Data Engineer (all genders)
Diconium Group GmbH —Berlin
- Vollzeit
- Azure
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Senior Staff Customer Engineer – Automotive AI
Sonatus —Berlin
- Homeoffice
- Azure
- Doktorat
- Informatik
Direkt bewerben
(Senior) Applied Scientist, Search
Wolt - English —Berlin
- Homeoffice
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
7 Tage
Data Engineer (mwd) – Data Platforms & Data Pipelines
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Erfolgsbeteiligung
- Weiterbildungsprogramme
Senior Applied Scientist, AWS Developer Tools Science
Amazon Web Services Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Java
- Master
- Flexible Arbeitszeiten
4 Std.
Data Engineer (d/m/w) (70/26)
Robert Koch-Institut —Berlin
- Bis zu 14 € pro Monat
- Informatik
- Englisch
- Master
- Gleitzeit
- Weiterbildungsprogramme
4 Std.

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machine learning engineer (m/w/d) jobs near berlin, be

Senior AI Engineer (m/f/d)

Artefact -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit
vor 2 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 (m/w/d) Jobs in berlin, be

Senior AI Engineer (m/f/d)

Data Engineer (all genders)

Team Lead Data Science (f/m/x)

Senior Data Scientist - Europe

Quereinsteiger Physiker / Mathematiker als Software Engineer Data & AI (mwd)

Senior Data Scientist – Python, ML & Signal-Processing

Senior Data Engineer - Databricks (m/f/*)

Data Scientist (m/w/d) // Remote möglich

Data Scientist

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GENAI PLATFORM ENGINEER (M/W/D)

Senior Data Engineer (all genders)

Senior Staff Customer Engineer – Automotive AI

(Senior) Applied Scientist, Search

Data Engineer (mwd) – Data Platforms & Data Pipelines

Senior Applied Scientist, AWS Developer Tools Science

Data Engineer (d/m/w) (70/26)

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