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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Backend Engineer - **Company:** Moody's - **Location:** Berlin, Germany - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Continuous Integration, Distributed Systems, Monitoring of Systems, Machine Learning, Software Tools, Software Deployment, Software Engineering, Deep Learning, Model Validation, Backend, Containerization, Kubernetes, Data Lineage, Machine Learning Operations, Software Version Control - **Published:** August 10, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=ecae220834fc892b ## About the Role * 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, * 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 ## Description 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 Moody's 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 ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Deployed ML models need your feedback too](https://www.wearedevelopers.com/videos/161-deployed-ml-models-need-your-feedback-too) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [DevOps for Machine Learning](https://www.wearedevelopers.com/videos/179-devops-for-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Backend Developer Salary in Germany [2023]](https://www.wearedevelopers.com/magazine/196-backend-developer-salary-in-germany-2023) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe) - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)