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

Data Engineer, Fraud
Xcelirate —Berlin
- 98.000 € pro Jahr
- Vollzeit
- Homeoffice
- Datenbanken
- Bachelor
- Machine Learning
Direkt bewerben
7 Std.
Berater für Digitale Transformation & KI (m/w/d) – Ideal für Quereinsteiger
mycareernow GmbH —Falkensee
- Ab 50.000 € pro Jahr
- Teilzeit
- Homeoffice
- Machine Learning
- PC-Kenntnisse
- Künstliche Intelligenz
- Weiterbildungsprogramme
Direkt bewerben
3 Tage
Archon Labs - Data Scientist
deCircle —Berlin
- Vollzeit
- Homeoffice
- Keine Berufserfahrung erforderlich
- Bachelor
- Machine Learning
Direkt bewerben
Senior Machine Learning Engineer (ASR) (all)
Sonia —Berlin
- Vollzeit
- Informatik
- Master
- 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
Data Team Lead (incl. GenAI) (m/f/d)
Smartbroker AG —Berlin
- Vollzeit
- Informatik
- Java
- SQL
Direkt bewerben
Machine Learning Engineer
super.AI —Berlin
- Vollzeit
- Azure
- AWS
- Machine Learning
Direkt bewerben
Data Scientist (m/f/x)
Enpal —Berlin
- Vollzeit
- Azure
- Informatik
- SQL
Direkt bewerben
Data Science Consultant - QuantumBlack, AI by McKinsey
McKinsey & Company —Berlin
- Informatik
- Azure
- Informatik
Data Scientist
JINGDONG RETAIL (UK) LIMITED —Berlin
- Vollzeit
- Azure
- Datenanalyse
- Master
Direkt bewerben
Robotics Engineer - Vision Language Action Model
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Machine Learning Scientist
Nucs AI —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
Data Engineer (mwd) – Data Platforms & Data Pipelines
HMS Analytical Software GmbH —Berlin
- Teilzeit
- Hybrides Arbeiten
- Azure
- Informatik
- Englisch
- Erfolgsbeteiligung
- Weiterbildungsprogramme
Robotics Engineer - AI
Sensmore —Berlin
- Vollzeit
- Informatik
- Master
- C++
Direkt bewerben
Sr. Applied AI Engineer
Taktile —Berlin
- Vollzeit
- Hybrides Arbeiten
- Microsoft Excel
- Azure
- SQL
Principal Applied Scientist / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- SQL
- Umzugskostenzuschuss
9 Tage
Applied Science Manager / Lounge by Zalando (all genders)
Zalando —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Master
- Umzugskostenzuschuss
4 Tage
AI Engineer (Agentic AI & LLM Systems)
beroe x nnamu GmbH —Berlin
- Vollzeit
- Master
- Machine Learning
- APIs
- Flexible Arbeitszeiten
Direkt bewerben
Senior Data Engineer (all genders)
diconium GmbH —Berlin
- Vollzeit
- Azure
- Java
- AWS
- Weiterbildungsprogramme
- Flexible Arbeitszeiten
Senior Data Platform Engineer (d/f/m)
Taxfix —Berlin
- Vollzeit
- Hybrides Arbeiten
- Azure
- SQL
- AWS
- Flexible Arbeitszeiten
Direkt bewerben

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Data Engineer, Fraud

Xcelirate
Berlin

Direkt bewerben

Details zur Stelle

Vollzeit
98.000 € pro Jahr
vor 7 Stunden

Qualifikationen

CI/CD
Git
Tableau
Datenbanken
Datenbankdesign
Bachelor
Machine Learning
Apache
Datenvisualisierung
Flask
Python
MySQL

Vollständige Stellenbeschreibung

Who Are We?

Xcelirate develops technologically-advanced platforms which are accessed by thousands of users every minute! We are proud to offer a workplace where the sharpest developers come together to strategically plan and swiftly execute practices which see us maintain our existing market dominance and attain global expansion. We owe our success to our customers who have seen us grow across a decade, and our talented team who have made that growth possible.

Who are we looking for?

The Data Engineer will focus on designing, developing, and maintaining robust data infrastructure to support use cases such as fraud detection but also general data engineering. The position emphasizes building scalable, high-performing data pipelines and storage systems for fraud use cases. Although this role involves light integration with machine learning models, its primary responsibility is creating the technical foundation that powers such use cases of fraud detection, analytics and reporting.

What will you be doing?

Develop and Maintain Pipelines: build and maintain efficient, scalable data pipelines for use cases such as fraud detection
Support Fraud Analytics: enable analysts and product teams to identify and address emerging fraud patterns through engineered datasets
Integrate Detection Models: collaborate with teams to operationalise external fraud detection models and integrate them into the data infrastructure
Data Storage Optimisation: design and optimise data storage solutions for analysing fraud signals and managing historical data
Feature Engineering: create fraud-specific datasets and features to enhance detection accuracy while supporting business and analytics teams
Pipeline Monitoring and Optimisation: monitor fraud data pipelines to ensure system reliability and troubleshoot performance issues
Best Practices Documentation: establish and document best practices for fraud-related data engineering
Cross-Team Collaboration: partner with data, product, and engineering teams to proactively address fraud trends

Requirements

What will you bring along?

3+ years of experience as a data engineer with some expertise in fraud detection systems or similar
Proficiency in Python and SQL, with knowledge of orchestration and transformation tools (e.g., Apache Airflow, DBT)
Strong knowledge of database design, query optimisation, and ETL/ELT workflows, ideally including relational databases such as MySQL and columnar databases such as ClickHouse
Experience building and maintaining production data pipelines
Familiarity with leveraging machine learning models, primarily as a component of the broader data pipeline, including model registries such as MLflow
Understanding of CI/CD processes for data pipelines
Hands-on experience with data visualization platforms for trend reporting (e.g., Tableau, Superset, Metabase)
Ability to support with model serving components, such as Flask or FastAPI
Familiarity with statistical techniques for fraud trend analysis and reporting
Experience with Git and version control in collaborative workflows

We are always looking for the best candidates, so if you think you would be a good fit even if you don't meet 100% of the requirements, we would love to hear from you!

Benefits

How We Support Our Contractors:

An annualised rate of €98,000 + retention bonus scheme: Competitive contractor rate with a generous bonus paid every 6 months based on your time with us.
Top-Notch Workstation: We provide the latest MacBook, branded merchandise, and everything you need for an optimal work environment.
Global Co-Working Access: Work from a global network of co-working spaces to keep your work-life dynamic and flexible.
Flexibility: Enjoy full flexibility in work location and hours, supporting a work-life balance tailored to your needs.
Events and Gatherings: Participate in exciting events throughout the year, including team gatherings, cultural events, and other fun activities.

At Xcelirate, we’re committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We pride ourselves in being an equal opportunity workplace.

Direkt bewerben

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

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