17 beste Stellen als lead machine learning in berlin, be – aktuell auf Personalsuche

Software Engineer
Moody's —Berlin
- Doktorat
- Master
- Bachelor
4 Tage
Head of AI Research
Clera —Berlin
- Vollzeit
- Hybrides Arbeiten
- Doktorat
- Forschungserfahrung
- Machine Learning
Direkt bewerben
5 Tage
Manager, Data Science, Dynamic Promo - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Python
Direkt bewerben
2 Tage
Graduate Robotics Engineer - Formula Student
Sensmore —Berlin
- Vollzeit
- Master
- C++
- Bachelor
Direkt bewerben
5 Tage
Graduate Hardware Engineer - Formula Student
Sensmore —Berlin
- Vollzeit
- CAD
- Master
- C++
Direkt bewerben
5 Tage
Senior Data Scientist, Dynamic Promo - Quick Commerce
Delivery Hero —Berlin
- Vollzeit
- Hybrides Arbeiten
- AWS
- Machine Learning
- Python
Direkt bewerben
2 Tage
Machine Learning Engineer
Sensmore —Berlin
- Vollzeit
- Doktorat
- Informatik
- Master
Direkt bewerben
16 Std.
Manager, Data Platform
KAYAK —Berlin
- Vollzeit
- Hybrides Arbeiten
- Management-Erfahrung
- SQL
- AWS
- Kostenlose Verpflegung
Direkt bewerben
16 Std.
Sr. Software Engineer , Community Feedback
Amazon Development Center Germany GmbH —Berlin
- Vollzeit
- Informatik
- Java
- C++
10 Std.
Senior Specialist Solutions Architect, Amazon Quick
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Informatik
- Vertrieb
- DevOps
10 Std.
Startup Account Executive, AWS Startups Germany
AWS EMEA SARL (Germany Branch) —Berlin
- Vollzeit
- Vertrieb
- Master
- Unternehmensentwicklung
1 Tag
Senior Applied Scientist (all genders)
Zalando —Berlin
- Vollzeit
- Doktorat
- Python
- Umzugskostenzuschuss
20 Std.
Engineering Manager - Runtime Platform
N26 —Berlin
- Management-Erfahrung
- AWS
- APIs
- Homeoffice-Möglichkeit
16 Std.
Senior Social Media Manager - French Fluent
Paradox —Berlin
- Vollzeit
- Homeoffice
- Social Media Management
- Englisch
- Künstliche Intelligenz
- Flexible Arbeitszeiten
12 Std.
MLOps Engineer (m/w/d)
Deutsche Kreditbank AG —Berlin
- Vollzeit
- Informatik
- DevOps
- Englisch
1 Tag
Sales Account Executive Nordics - B2B SaaS (m/f/d)
7Learnings —Berlin
- 60.000 € – 100.000 € pro Jahr
- Vollzeit
- Vertrieb
- Mit Reiseanteil
- Flexible Arbeitszeiten
Direkt bewerben
19 Std.
Senior Cloud Security Engineer
N26 —Berlin
- Bereitschaftsdienst
- Informatik
- Master
- AWS
- Umzugskostenzuschuss
- Homeoffice-Möglichkeit
20 Std.

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Software Engineer

Moody's -
Berlin

Jetzt bewerben

Details zur Stelle

vor 4 Tagen

Qualifikationen

Doktorat
Master
Bachelor
Scripting
Ruby
APIs
Geschäftsanforderungen
Künstliche Intelligenz
Python
GIS

Vollständige Stellenbeschreibung

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

Expertise in Python and SQL alongside other scripting languages such as Ruby, with a demonstrated understanding of software architecture principles required to design scalable systems
Demonstrated proficiency in artificial intelligence concepts, including hands-on experience using AI tools to streamline code generation and testing, with a commitment to responsible and ethical AI use
Strong ability to design and implement high-quality, scalable, and maintainable back-end code solutions that meet business and technical requirements
Demonstrated initiative and autonomy in problem-solving, with the ability to translate abstract requirements into well-defined technical objectives
Proven adaptability, with a track record of learning new programming languages, tools, and technology stacks and applying them effectively based on business needs
Excellent written and verbal communication skills, with the ability to articulate technical concepts and business requirements to technical and non-technical stakeholders
Knowledge of Geographic Information Systems (GIS) is preferred but not required

Education

Bachelor’s degree in a STEM field with 3+ years of relevant hands-on industry experience, or
Master’s degree in a STEM field with 2+ years of relevant hands-on industry experience, or
PhD degree in a STEM field with 1+ years of relevant hands-on industry experience

Responsibilities

Build and maintain robust, scalable back-end systems that power high-performance insurance analytics applications
Design, build, and maintain extensible back-end services and web applications with a focus on architecture, scalability, and reliability
Participate in technical design discussions and provide expert input across the back-end technology stack
Perform code reviews and technical analysis to ensure code quality, maintainability, and alignment with engineering standards
Develop and maintain unit and end-to-end tests to ensure system performance and reliability
Collaborate closely with product, data science, and machine learning partners to translate business requirements into technical solutions
Evaluate new tools and technologies and provide recommendations to continuously improve the back-end technology stack
Own critical components of back-end development, demonstrating strong technical judgment and collaboration skills

About the team

Our software engineering team is responsible for building the core databases, APIs, and applications that support Moodys insurance analytics platform. By joining the team, you will collaborate closely with machine learning engineers and data scientists to solve complex engineering challenges and deliver meaningful impact for customers and internal partners. We tackle difficult engineering challenges and focus on delivering impact for our coworkers and clients each day.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Jetzt bewerben

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lead machine learning Jobs in berlin, be

Software Engineer

Head of AI Research

Manager, Data Science, Dynamic Promo - Quick Commerce

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Graduate Hardware Engineer - Formula Student

Senior Data Scientist, Dynamic Promo - Quick Commerce

Machine Learning Engineer

Manager, Data Platform

Sr. Software Engineer , Community Feedback

Senior Specialist Solutions Architect, Amazon Quick

Startup Account Executive, AWS Startups Germany

Senior Applied Scientist (all genders)

Engineering Manager - Runtime Platform

Senior Social Media Manager - French Fluent

MLOps Engineer (m/w/d)

Sales Account Executive Nordics - B2B SaaS (m/f/d)

Senior Cloud Security Engineer

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