Senior ML Backend Engineer

United States Digital Space LLC; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

Moody’s in Berlin seeks a senior backend engineer focused on machine learning infrastructure. You will design, build, and scale platforms enabling model training, evaluation, deployment, and monitoring for property intelligence solutions.

Work with ML researchers and software teams to productionize models, implement observability, data lineage, and governance, and contribute to secure, responsible AI practices across the stack.

Qualifikationen

• PhD in science, technology, engineering, or mathematics preferred.
• Master's degree with significant industry experience or Bachelor's with extensive hands-on experience.
• Equivalent practical experience and non-traditional career paths will be considered.

Aufgaben

• Build and evolve ML infrastructure enabling scalable development, deployment, and monitoring of advanced property intelligence models.
• Maintain and enhance shared ML training, evaluation, and deployment platforms across the engineering organisation.
• Design and implement reliable, scalable, and cost‑effective ML infrastructure, pipelines, and tooling.
• Partner with ML engineers to productionize new modelling approaches from prototype to production.
• Develop automation, observability, monitoring, testing, and governance across ML systems.
• Evaluate and onboard new data sources, platforms, and technologies to improve model performance and efficiency.
• Collaborate with software, technology, product, and commercial teams to deliver scalable ML solutions.
• Ensure solutions align with security, governance, responsible AI, and model risk management requirements.

Kenntnisse

Python

ML infra

Cloud-native tech

Kubernetes

CI/CD

Stakeholder comms

Ausbildung

PhD in STEM

Master's with industry exp

Bachelor's with hands-on exp

Tools

Docker

Experiment tracking

Git

CI/CD pipelines

Containerisation

Jobbeschreibung

At the company, 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.

Skills and Competencies

• Experience designing, building, and maintaining machine learning infrastructure, platforms, and tooling that support large-scale model training, evaluation, and deployment
• Proficiency in Python and modern machine learning engineering tools, including deep learning frameworks, experiment tracking platforms, containerisation, version control, and automated workflows
• Experience with machine learning operations practices, including continuous integration and deployment, model monitoring, reproducibility, data lineage, and model governance
• Proven expertise working with cloud-native technologies, Kubernetes, distributed computing environments, and scalable infrastructure supporting machine learning workloads
• Strong analytical and problem-solving skills, with the ability to evaluate technical trade-offs, support model development teams, and communicate complex concepts to both technical and non-technical stakeholders
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using artificial intelligence tools, including coding assistants and large language model-based agents, to improve engineering productivity, automate workflows, and enhance operational efficiency
• Proven ability to implement artificial intelligence-powered solutions to solve business challenges, with a commitment to responsible and ethical AI practices, including model evaluation, governance, risk awareness, and documentation
• Successful candidates will be senior backend engineers with a good understanding of ML and a strong interest to go deeper on ML

Education

• PhD in a science, technology, engineering, or mathematics discipline preferred
• Master's degree with significant relevant industry experience or Bachelor's degree with extensive hands‑on industry experience considered
• Equivalent practical experience and non‑traditional career paths will also be considered

Responsibilities

Build and evolve machine learning infrastructure that enables scalable development, deployment, and monitoring of advanced property intelligence models

• Maintain and enhance shared machine learning training, evaluation, and deployment platforms used across the engineering organisation
• Design and implement reliable, scalable, and cost‑effective machine learning infrastructure, pipelines, and tooling
• Partner with machine learning engineers and researchers to transition new modelling approaches from prototype to production
• Develop and improve automation, observability, monitoring, testing, and governance capabilities across machine learning systems
• Evaluate and onboard new data sources, platforms, and technologies that improve model performance and operational efficiency
• Collaborate with software engineering, technology, product, and commercial teams to deliver scalable machine learning solutions
• Ensure solutions align with security, governance, responsible AI, and model risk management requirements

About the Team

Our Machine Learning Technology team is responsible for the core platforms, infrastructure, and engineering capabilities that power the company industry‑leading property intelligence solutions. We combine machine learning, computer vision, geospatial analytics, and artificial intelligence to generate insights from large-scale aerial and satellite imagery. Our team develops and operates the platforms that enable rapid experimentation, scalable model training, production deployment, and continuous model improvement. We also leverage AI-enabled engineering tools, automation, and responsible AI practices to accelerate innovation, improve productivity, and enhance the quality of our solutions. By joining our team, you will work on cutting‑edge AI and machine learning challenges while helping organisations better understand and manage climate and economic risks

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 the company 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.