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Cloud Machine Learning Engineer - EMEA remote at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Cloud Machine Learning Engineer in EMEA.. We are seeking a talented Cloud Machine Learning Engineer to build large-scale, production-ready ML solutions that empower millions of users globally. You will play a key role in integrating advanced open-source AI libraries with major cloud platforms, optimizing performance, and enhancing developer experiences. Working in a highly collaborative and innovative environment, you’ll help design and deploy cutting-edge tools that make AI more accessible and efficient for developers and enterprises alike. This is a fully remote role within a diverse, mission-driven, and fast-evolving ecosystem.. . Accountabilities:. Develop, integrate, and optimize machine learning solutions on major cloud platforms (AWS, Azure, GCP).. Bridge advanced AI frameworks with cloud infrastructure to deliver performant, secure, and scalable systems.. Design, build, and maintain developer-friendly APIs, SDKs, and cloud-native services for model deployment.. Contribute to and extend open-source machine learning libraries, ensuring top performance and usability.. Create comprehensive documentation, tutorials, and notebooks to support developers and users.. Collaborate with cloud partners, engineering, and product teams to align features and drive innovation.. Engage with the broader AI and open-source community by sharing results, insights, and best practices.. . Proven experience in deploying and maintaining ML systems in production using cloud platforms such as AWS, Azure, or GCP.. Expertise with deep learning frameworks, preferably PyTorch, and familiarity with tools such as Transformers, Diffusers, Accelerate, or PEFT.. Strong understanding of MLOps practices, including containerization (Docker) and orchestration (Kubernetes).. Experience in building scalable APIs and cloud integrations, ensuring reliability and ease of use.. Knowledge of cloud services like SageMaker, EC2, S3, CloudWatch, or their equivalents.. Familiarity with programming languages such as Python, TypeScript, Rust, and databases like MongoDB.. Ability to write clear technical documentation and examples for developer-facing tools.. Bonus: experience with web technologies such as Svelte or TailwindCSS.. Excellent communication and teamwork skills, with a passion for open-source collaboration and community engagement.. . Company Location: Portugal.