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

Software Engineer
Moody's —Berlin
- Doktorat
- Master
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1 Tag
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Clera —Berlin
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- SQL
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Sensmore —Berlin
- Vollzeit
- C++
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Delivery Hero —Berlin
- Vollzeit
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MindDoc Health GmbH —Berlin
- Vollzeit
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BairesDev —Berlin
- Homeoffice
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- Flexible Arbeitszeiten
Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin
Oliver Wyman —Berlin
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Product Manager (AI)
autarc GmbH —Berlin
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Realtime Robotics —Berlin
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JustPlay GmbH —Berlin
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hy Consulting Group GmbH —Berlin
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Artefact —Berlin
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Dunia Innovations GmbH —Berlin
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Software Engineer

Moody's -
Berlin

Jetzt bewerben

Details zur Stelle

vor 1 Tag

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.

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lead machine learning Jobs in berlin, be

Software Engineer

Forward Deployed Engineer (all genders)

Principal Consultant-Professional Services (f/m/d)

Head of AI Research

Head of Performance Media

Robotics State Estimation Engineer

Data Product Manager, Dynamic Assortment - (Quick Commerce)

Product Manager (Mobile Apps/AI) (m/f/d)

Staff Full Stack Engineer - Remote Work

Oliver Wyman - Data & Analytics Consulting - Intern (m/f/d) - Berlin

Robotics Engineer

Product Manager (AI)

Senior Robotics ML Engineer

Senior Data Scientist (all genders)

Robotics Engineer - AI

(Senior) Consultant (m/w/d) - Pricing

Consulting Manager (m/f/d) Daten- & KI-Strategie

ML Ops / Data Engineer - Robotics

Group Product Manager

Head of AI Research

Ich möchte aktuelle Job-E-Mails für Stellen als lead machine learning in berlin, be erhalten

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