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Amazon Machine Learning Engineer MLOps/MLaaS Engine AI Center Excellence 
Germany, Berlin 
616585721

04.03.2025
DESCRIPTION

You are well familiar to all aspects of practical machine learning, encompassing sound use of data preprocessing techniques, analysis, modelling (e.g., neural networks, regression, estimators, probabilistic models, etc.), hyper-parameter tuning approaches, and validation methods. In addition, you demonstrate excellent software development engineering skills that you use daily for designing computationally effective solutions and for machine learning operations (MLOps) in large scale production environments.Key job responsibilities
A day in the life
Almost everyday offers new challenges and opportunities for growth. Where one day will offer implementation of experimentation tooling, the next day may be focused on our operational excellence in maintaining our code base. Later in the week, you may sort technical challenges with our partners to help them enrich their products with our models. On some days or weeks, you may watch over our products and stand ready to intervene and provide support to partners consuming our models.

BASIC QUALIFICATIONS

- Bachelor's degree in computer science or equivalent
- Experience (non-internship) in professional software development
- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
- Experience programming with at least one software programming language
- Experience in Machine Learning Operations (MLOps) in deploying, operationalizing, and maintaining scalable AI/ML-solutions in production.


PREFERRED QUALIFICATIONS

- Master's degree in computer science or equivalent
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
- Experience in machine learning, data mining, information retrieval, statistics or natural language processing