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

AI Engineer (f/m/d) — Applied AI & Machine Learning
Lampenwelt GmbH —Berlin
- Master
- SQL
- Machine Learning
Machine Learning Engineer (m/w/d) – MLOps & Software Engineering
flaschenpost SE —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- Englisch
- Machine Learning
Direkt bewerben
4 Tage
Software Dev Engineer Intern Machine Learning, Amazon Robotics
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Informatik
- SQL
- AWS
JUNIOR GENAI ENGINEER (M/W/D)
Berlin, Hamburg, Köln, Frankfurt, Bremen, Gütersloh, München, Düsseldorf —Berlin
- Azure
- Englisch
- Master
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)
Simon-Kucher & Partners —Berlin
- Per E-Mail
- Englisch
- Datenbanken
- SQL
- Weiterbildungsprogramme
AI Working Student (Werkstudent) (Project-Based )
YOONA Ventures GmbH —Berlin
- Datenbanken
- AWS
- Machine Learning
Senior Data Engineer on Databricks (m/w/d)
Würth IT GmbH —Berlin
- Azure
- Java
- SQL
- Flexible Arbeitszeiten
- Empfehlungsprogramm
Machine Learning Engineer
Sensmore —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
3 Tage
Data Engineering Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Azure
- Informatik
- SQL
Maschine Learning Engineer (m/w/d)
The Nunatak Group GmbH —Berlin
- Vollzeit
- Azure
- Informatik
- Englisch
- Weiterbildungsprogramme
1 Tag
Data Engineer (d/m/w) (070/26)
Robert Koch-Institut —Berlin
- Bis zu 14 € pro Monat
- Informatik
- Englisch
- Master
- Gleitzeit
- Weiterbildungsprogramme
7 Tage
(JUNIOR) AI APPLICATION ENGINEER || AI PRODUCTS LLM & RAG (M/W/D)
Berlin, München, Hybrid —Berlin
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Homeoffice-Möglichkeit
- Weiterbildungsprogramme
Applied Scientist II, AFT AI, Amazon AFT AI
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Doktorat
- Forschungserfahrung
- Master
Data Team Lead (incl. GenAI) (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
Senior AI Engineer (m/f/d) in B2B SaaS AI Startup
traide-ai —Berlin
- Vollzeit
- Informatik
- Master
- Bachelor
Direkt bewerben
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
AI Engineer (m/w/d)
Gesellschaft für musikalische Aufführungs- und mechanische Vervielfältigungsrechte (GEMA) —Berlin
- Teilzeit
- Englisch
- Master
- Machine Learning
- Gleitzeit
- Homeoffice-Möglichkeit
1 Tag
Machine Learning Engineer - Recommendation
JD.COM INTERNATIONAL UK LTD —Berlin
- Vollzeit
- Informatik
- Englisch
- Bachelor
Direkt bewerben
11 Tage
AI ENGINEER (M/W/D)
Hannover, München, Düsseldorf, Gütersloh —Berlin
- Hybrides Arbeiten
- Azure
- Englisch
- AWS
Archon Labs - Data Scientist
deCircle —Berlin
- Vollzeit
- Homeoffice
- Keine Berufserfahrung erforderlich
- Bachelor
- Machine Learning
Direkt bewerben

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

AI Engineer (f/m/d) — Applied AI & Machine Learning

Lampenwelt GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Qualifikationen

Master
SQL
Machine Learning
APIs
Künstliche Intelligenz
Python

Vollständige Stellenbeschreibung

Company description

Lampenwelt has been shaping the future of lighting since 1999 with over 50,000 products, eight in-house brands, and an international team of around 500 talents. The focus is on people’s well-being, strong customer orientation, open communication, and innovative solutions along the entire value chain, with the goal of making the world brighter and smarter.

Job description

We are building AI-powered products that directly shape how customers discover and experience lighting. As our AI Engineer, you will design, build, and take ownership of applied AI systems that create measurable business impact.

This is a product-oriented engineering role, not a research position. Majority of your time will be spent on applied AI and generative systems; the remaining will support existing predictive ML models (demand forecasting, pricing, logistics). You will work closely with product managers, data engineers, and business stakeholders.

Where your expertise is needed

Applied AI & Generative Systems (Primary)

Design and build production-ready AI systems: RAG pipelines, multi-agent orchestration, LLM-based workflow automation, and generative media applications
Develop evaluation frameworks that measure AI output quality, reliability and consistency
Design guardrails that enforce safe, predictable AI behavior in production
Build and maintain clean, well-documented API and service layers that integrate AI capabilities into our products
Collaborate with product managers to translate business problems into concrete AI solution designs
Stay current with the AI technology landscape and propose pragmatic improvements to our architecture

Predictive ML Support (Secondary)

Monitor and support existing predictive ML pipelines (regression, classification, demand forecasting, logistics)
Assist in detecting and triaging model drift; contribute to basic retraining or validation workflows
Collaborate with data engineers on feature preparation for scheduled model runs

What will help you master future challenges

Applied AI engineering: Demonstrated ability to build and ship RAG systems, LLM integrations, or multi-agent workflows in production
Python and SQL proficiency: Comfortable writing clean, maintainable Python for production services and SQL for data retrieval and validation
AI evaluation: Experience designing evaluation frameworks for generative AI outputs, including metrics, test sets, and monitoring approaches
Production deployment: Practical experience deploying APIs or AI services to a cloud environment (any major cloud provider); understands latency, error handling, and observability basics
Stakeholder communication: Able to clearly communicate technical trade-offs and solution designs to non-technical collaborators; English at C1 level or above
ML literacy: Working understanding of supervised learning concepts (regression, classification, cross-validation) sufficient to support and interpret existing predictive models

Your Benefits

A stable and engaging position in a profitable scale-up company
Flexible working options, from home and in one of our stylish offices in Fulda, Düsseldorf, or Berlin
A wide range of benefits, including free fruit and drinks, team and after-work events, and digital networking opportunities
A sports allowance to support your hobbies, because we care about the well-being of our team
Attractive employee discounts across our entire product range
Numerous learning and development opportunities, both within and beyond our organization

Contact

Melissa Barnes

[email protected]

+49 661-296 962-1216

#LI-Berlin #LI-Düsseldorf #LI-Fulda #LI-Hybrid

Jetzt bewerben

Erweiterte Suche

machine learning engineer (m/w/d) Jobs in berlin mitte, be

AI Engineer (f/m/d) — Applied AI & Machine Learning

Machine Learning Engineer (m/w/d) – MLOps & Software Engineering

Software Dev Engineer Intern Machine Learning, Amazon Robotics

JUNIOR GENAI ENGINEER (M/W/D)

Praktikum Data Engineer im Bereich Advanced Analytics (m/w/d)

AI Working Student (Werkstudent) (Project-Based )

Senior Data Engineer on Databricks (m/w/d)

Machine Learning Engineer

Data Engineering Consultant - QuantumBlack, AI by McKinsey

Maschine Learning Engineer (m/w/d)

Data Engineer (d/m/w) (070/26)

(JUNIOR) AI APPLICATION ENGINEER || AI PRODUCTS LLM & RAG (M/W/D)

Applied Scientist II, AFT AI, Amazon AFT AI

Data Team Lead (incl. GenAI) (m/f/d)

Senior AI Engineer (m/f/d) in B2B SaaS AI Startup

Data Science Consultant - QuantumBlack, AI by McKinsey

AI Engineer (m/w/d)

Machine Learning Engineer - Recommendation

AI ENGINEER (M/W/D)

Archon Labs - Data Scientist

Ich möchte aktuelle Job-E-Mails für Stellen als machine learning engineer (m/w/d) in berlin mitte, be erhalten

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