machine learning engineer for global clients

Описание: Andersen Lab provides scalable machine learning and production-ready AI solutions for global clients. Задачи: Design scalable machine learning models; Train scalable machine learning models; Deploy machine learning models; Build robust data pipelines; Support production-ready AI solutions. Требования: 2+ Years of experience as an ML Engineer or in a similar role; Strong understanding of core ML concepts, including regression, classification, clustering, and validation; Proven experience deploying models with AWS SageMaker; Familiarity with AWS Bedrock and LLMs; Hands-on experience with data preprocessing, feature engineering, and model evaluation; Knowledge of ML deployment using REST APIs and Docker; Exposure to MLOps practices; German at Intermediate+ level (B1+); English at Upper-Intermediate+ level (B2+). Условия: Fully remote, office, or hybrid work format; Professional growth and mentoring; Certification compensation, including AWS certifications; Work with industry leaders such as Siemens, Samsung, Johnson & Johnson, and Allianz.