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522

Machine Learning jobs in Germany

Lead Data Engineer

Nelly Solutions

Germany
Hybrid
EUR 70,000 - 90,000
30+ days ago
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[Hiring] Data Science Engineer @Turquoise Health

Turquoise Health

Germany
Remote
EUR 60,000 - 80,000
30+ days ago

Senior Product Manager, Agentic AI

RepRisk AG

Germany
On-site
EUR 70,000 - 100,000
30+ days ago

Data Scientist mit Schwerpunkt Engineering (m/w/d)

Ypsomed Produktion GmbH

Germany
On-site
EUR 55,000 - 75,000
30+ days ago

(Senior) Data Engineer

Intelligent Apps GmbH

Hamburg
Hybrid
EUR 60,000 - 80,000
30+ days ago
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(Senior) Data Engineer (f/m/d): SAP Business AI - SAP Knowledge Graph

SAP

Germany
Hybrid
EUR 60,000 - 80,000
30+ days ago

(Senior) Data Engineer

FREENOW

Germany
Remote
EUR 65,000 - 85,000
30+ days ago

Data Scientist (Intelligence)

Houston Texans

Germany
On-site
USD 140,000 - 190,000
30+ days ago
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Senior Product Manager - Pricing

FREENOW

Berlin
Hybrid
EUR 70,000 - 90,000
30+ days ago

(Senior) Data Engineer

Intelligent Apps GmbH

Berlin
Hybrid
EUR 70,000 - 90,000
30+ days ago

Chief Technology Officer (m/f/d)

Aerobotics

Berlin
On-site
EUR 100,000 - 150,000
30+ days ago

Model Risk Manager - Model Validation AI / GenAI (w/m/d)

ING Group

Germany
Hybrid
EUR 60,000 - 90,000
30+ days ago

Data Science Manager (Knowledge Graphs) (f/m/d): SAP Knowledge Graph (Walldorf/Berlin)

SAP

Germany
Hybrid
EUR 90,000 - 130,000
30+ days ago

Senior SRM Data Scientist (m/w/d)

Coty

Germany
On-site
EUR 70,000 - 90,000
30+ days ago

Creative AI Workflow Architect (all genders)

SERVICEPLAN Gruppe

Germany
Hybrid
EUR 60,000 - 90,000
30+ days ago

Data Science Manager (Knowledge Graphs) (f/m/d): SAP Knowledge Graph (Walldorf/Berlin)

SAP SE

Berlin
Hybrid
EUR 80,000 - 120,000
30+ days ago

Senior SRM Data Scientist (m/w/d)

coty

Darmstadt
On-site
EUR 75,000 - 100,000
30+ days ago

Bachelor of Science (B. Sc.) (w/m/d) - Data Science & Künstliche Intelligenz - 2026

TRUMPF Group

Germany
On-site
EUR 60,000 - 80,000
30+ days ago

Data Engineer (m/w/d)

FERCHAU GmbH

Germany
On-site
EUR 50,000 - 70,000
30+ days ago

Praktikum im Bereich Entwicklung Pumpen und Motoren

Robert Bosch Group

Horb (Kernstadt)
On-site
EUR 20,000 - 40,000
30+ days ago

Senior Product Designer - Artificial Intelligence

Celonis

Germany
On-site
EUR 70,000 - 100,000
30+ days ago

Data Scientist (jun. / sen.)

Paiqo

Germany
Hybrid
EUR 60,000 - 80,000
30+ days ago

(Senior) Manager Data Science (w/m/d)

BDO AG Wirtschaftsprüfungsgesellschaft

Germany
On-site
EUR 70,000 - 100,000
30+ days ago

Lead AI Engineer (Leadership Track, Berlin)

Enjins

Germany
Hybrid
EUR 80,000 - 120,000
30+ days ago

(Senior) Consultant Artificial Intelligence (all genders) Cyber Security

Orange Cyberdefense

Germany
Hybrid
EUR 60,000 - 90,000
30+ days ago

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Lead Data Engineer
Nelly Solutions
Germany
Hybrid
EUR 70.000 - 90.000
Full time
30+ days ago

Job summary

A leading AI fintech company in Berlin is seeking an ambitious AI Engineer to join their innovative team. The role involves designing and implementing data pipelines and developing AI systems while collaborating with cross-functional teams. Ideal candidates will have extensive software engineering experience, particularly in AI and data engineering, along with strong problem-solving skills. Competitive salary and flexible working conditions offered.

Benefits

Competitive salary
Top of the line working equipment
Generous budget for learning and development activities
Flexible working hours and hybrid work mode
4 weeks workation possibility
Cozy and dog friendly office
BVG Ticket or Swapfiets subscription
Urban Sports membership

Qualifications

  • At least 7 years as a software engineer, with 2+ years in AI, machine learning, and data engineering.
  • Experience with modern data workflow orchestration frameworks.
  • Deep experience in Python and relevant frameworks.

Responsibilities

  • Design and implement modern data-pipelines for AI-solutions.
  • Deploy agentic systems into production leveraging AI advancements.
  • Collaborate with cross-functional teams to drive impactful projects.

Skills

Machine Learning
Python
Data Engineering
Cloud Native Development
Problem Solving
Collaboration Skills
English Proficiency
German Fluency

Tools

AWS
Dagster
Airflow
Prefect
Pandas
Job description

We celebrate diversity and encourage individuals of all genders (m/f/d) to apply.

We're on the lookout for an ambitious AI-Engineer to join our Engineering team at our office in Berlin. Join us in building the largest AI enabled fintech for healthcare!

As part of our freshly launched AI division at Nelly, where you'll be one of the pioneers shaping our future in AI. In a small, agile team, you'll work on developing cutting-edge AI systems and robust data pipelines-from rapid prototypes to scalable production solutions. This role is ideal for someone who combines deep ML theory with practical cloud and data engineering know-how, and who can drive innovative GenAI initiatives while keeping a pragmatic product focus.

About Nelly

At Nelly, we're revolutionizing medical practice management with AI-driven automation and seamless digital workflows. Our innovative solutions - from best-in-class patient journeys, AI enabled patient relationship management and billing to state of the art payment solutions - eliminate painful workflows and improve financial outcomes making healthcare administration smarter, faster, and 100% digital.

To fuel our mission, we just raised €50M in our Series B, backed by top-tier investors like Cathay, Notion, Lakestar, GFC, b2venture, and Motive Partners. With this momentum, we're on a mission to build Europe's largest fintech in healthcare - bringing best-in-class financial and operational solutions to over 1 million medical practices serving millions of patients daily.

Join us now if you're driven by impact, excited by fast-paced innovation, and ready to shape the future of healthcare!

Joining us, you will

    • Design and implement modern data-pipelines, orchestrating data-assets for our AI-solutions - from experimental prototypes to production-ready platforms.
    • Design, build, and deploy agentic systems into production by leveraging cutting-edge AI advancements, including RAG, ReAct and Knowledge Graphs, to develop effective solutions.
    • Evaluate, select, and integrate AI tools, frameworks, and platforms to ensure scalability, efficiency, and compliance.
    • Embrace a fast-paced, agile environment where outcome and quick progress is achieved through experimentation and rapid iteration.
    • You will support user interviews, contribute to product planning, and collaborate with cross-functional teams to drive impactful projects.
What you'll bring
    • At least 7 years as a software engineer, with 2+ years in AI, machine learning, and data engineering.
    • Experience with modern data workflow orchestration frameworks such as Dagster, Airflow, or Prefect, with emphasis on dependency-aware pipelines.
    • Experience with cloud native development, ideally AWS.
    • Deep experience in Python and relevant frameworks such as pandas.
    • Strong applied ML fundamentals alongside theoretical experience.
    • A self-motivated and creative problem-solver with a passion for pushing the boundaries of AI in healthcare and fintech.
    • A proactive and independent work ethic, balanced with strong team collaboration skills.
    • Proficiency in English, Fluent German is a big plus.
What we offer
    • Competitive salary
    • Top of the line working equipment
    • Generous budget for learning and development activities
    • Flexible working hours and hybrid work mode in Berlin
    • 4 weeks workation possibility
    • Cozy and dog friendly office in the city centre
    • BVG Ticket or Swapfiets subscription
    • Urban Sports membership
We are looking forward to receiving your application and welcoming you to the team.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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