16 beste Stellen als computer vision engineer in berlin, be – aktuell auf Personalsuche

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- AWS
- Flexible Arbeitszeiten
- Kostenlose Verpflegung
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Knowledge Architect (m/f/d)
XU —Berlin-Kreuzberg
- Vollzeit
- Informatik
- Künstliche Intelligenz
- Flexible Arbeitszeiten
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Solutions Architect
RevStar —Berlin
- Vollzeit
- Homeoffice
- CRM-Software
- Informatik
- Vertrieb
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8 Tage
Product Manager (AI)
autarc GmbH —Berlin
- Vollzeit
- Machine Learning
- Künstliche Intelligenz
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Senior Data Scientist - Europe
Xenon7 —Berlin
- Homeoffice
- Master
- AWS
- Machine Learning
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Data Product Manager, Dynamic Assortment - (Quick Commerce)
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- Informatik
- Merchandising
- SQL
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Senior Data Engineer
GLS/NXT —Berlin
- Hybrides Arbeiten
- Informatik
- AWS
- Bachelor
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3 Tage
Working Student Data Analysis (m/f/d)
1Komma5Grad —Berlin
- Teilzeit
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Senior Robotics Engineer (Autonomy)
hexafarms —Berlin
- Vollzeit
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Senior Data Engineer (m/f/d)
Axel Springer Tech GmbH —Berlin
- Vollzeit
- Azure
- Informatik
- AWS
- Flexible Arbeitszeiten
- Kostenlose Verpflegung
Direkt bewerben
1 Tag
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
1 Tag
Senior Engineering Manager, K4B
KAYAK —Berlin
- Vollzeit
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- Informatik
- Ohne Hochschulabschluss
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- Kostenlose Verpflegung
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5 Tage
Account Executive
Almetra —Berlin
- 70.000 € – 90.000 € pro Jahr
- Vollzeit
- Homeoffice
- CRM-Software
- Vertrieb
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Working Student Data Analysis (m/f/d)
1Komma5° GmbH —Berlin
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(Principal/Manager) Solution Architect AI (m/w/d)
Brighter AI Technologies GmbH —Berlin
- Vollzeit
- Englisch
- Linux
- Künstliche Intelligenz
- Flexible Arbeitszeiten
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Senior Full-Stack Developer (f/m/x)
D4L data4life gGmbH —Berlin-Kreuzberg
- Vollzeit
- Informatik
- Englisch
- Datenbanken
- Homeoffice-Möglichkeit
2 Std.

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computer vision engineer jobs near berlin, be

Senior Software Engineer (m/f/d) Data

Axel Springer Tech GmbH
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
vor 1 Tag

Leistungen

Flexible Arbeitszeiten
Kostenlose Verpflegung

Qualifikationen

Azure
Go
Informatik
Google Cloud Platform
AWS
APIs
Python

Vollständige Stellenbeschreibung

Company Description

Axel Springer is Europe’s leading digital publisher and a global media and technology company headquartered in Berlin. With renowned brands such as BILD, POLITICO Germany, WELT und BUSINESS INSIDER Germany, we reach millions of users worldwide. We combine the reach of an established industry leader with the agility of a startup, constantly driving innovation to transform journalism for the digital age.

Our corporate strategy places AI at the center: “Digital is the new print. AI is the new digital.” This vision reflects our belief that the fusion of artificial intelligence and human creativity will shape the future of media. Our National Media & Tech division is the central tech hub that ensures our journalism is supported by state-of-the-art technology, positioning our brands to thrive in the digital age. We believe in the future of journalism as a business model and invest in forward-looking technologies. Our five essentials are the values that unite us and guide us in our commitment to freedom.

You'll be part of a team that builds the data products powering Axel Springer's media and advertising business. That includes the pipelines, services, and modeled datasets that product teams, analysts, and data scientists rely on every day. You'll work within the Data Engineering discipline, reporting to a Data Engineering Manager while being embedded day-to-day in one of our business domains. Typical domains include subscriptions, advertising, audience tracking, content performance, and event data, and you'll work alongside software engineers, data scientists, analysts, and product partners. The stack is Python-first and cloud-native, with parts in Go. Strong engineering judgment matters more than familiarity with any specific platform.

Job Description

build data products as production software by designing, implementing, testing, deploying, and operating end-to-end systems
bring backend engineering rigor to data through clean code, sensible APIs, automated testing, and strong observability
own systems end-to-end and stay responsible for incidents, operational quality, performance tuning, and continuous improvement
make data trustworthy by building quality checks, lineage, freshness, and clear ownership from the start
design schemas, data contracts and domain models that evolve safely, handle late data, and reflect real business questions
partner with product, engineering, and data science to deliver reliable, high-quality data and lift standards through active mentoring of mid-level and junior engineers
tune pipelines, services, and data models for reliability, performance, and cost-eﬃciency

Qualifications

a degree in computer science, engineering, or a related field; equivalent expertise proven through experience and impact is equally valued
senior-level experience delivering and operating backend systems, data products, APIs, services, or pipelines end-to-end in a cloud environment such as AWS, GCP, or Azure
strong software engineering fundamentals with Python, writing clean, well-tested, maintainable code, and the ability to quickly pick up Go and other tools; experience with cloud data, lakehouse platforms, and high-throughput processing is a plus
whether you come as a senior backend engineer moving into data or a data engineer with meaningful backend experience, you bring either solid depth in data modeling, schema evolution, incremental and idempotent processing, and late data handling, or strong transferable instincts and a genuine drive to go deeper
sound judgment on APIs, data contracts, schemas, and ownership boundaries, including the ability to reason about compute cost and trade-offs, not just whether a system runs
data-trust instincts: you treat quality checks, lineage, freshness, observability, and documentation as first-class deliverables and operate data products like real production systems
strong collaboration and communication skills, including comfort working with non-engineers, valuing documentation and quality as glue work, and mentoring engineers at a range of levels
you take responsibility for outcomes, partner with your team and stakeholders to align on direction, and drive work forward

Additional Information

your personal growth is important to us: we offer trainings and learning lunches, tech conferences, a budget for workshops and much more to expand your knowledge and your skills
flexible working hours support a healthy work-life balance
our free food offer: in addition to a breakfast snack, we also offer a free lunch in our canteens
30 days vacation plus 10 days working from abroad
free choice of top-notch office equipment (also for your remote work space and possibility for private usage), up-to-date hardware, software and modern office spaces that provide you with maximum flexibility
collaboration thrives on direct exchange - we rely on 80% office presence and 20% mobile working
from now a permanent full- or part-time position in a modern office in the heart of Berlin: http://www.axelspringer-neubau.de/

The most frequently asked questions and their answers can be found on our FAQ page: career.axelspringer.com/en/faq

Diversity is an essential part of our corporate culture! We are looking forward to receiving all applications regardless of gender, nationality, ethnic and social origin, religion, ideology, disability, age, sexual orientation and identity.

You can find information about the representation for the severely disabled at Axel Springer here: https://career.axelspringer.com/en/rsde

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