Senior Machine Learning Engineer (all genders), Berlin

What you can expect: • Create and maintain highly performant and scalable ML services and integrate models for different services in enterprise infrastructures. • Design, build and maintain the ML CI/CD pipeline and workflows automating data collection, data analysis, experimentation, model training, model serving and monitoring in production. • Train, evaluate and scale machine learning models. • Interact with stakeholders to understand their needs, make recommendations and design solutions based on these. • Implementation of ML pipelines and infrastructure. • Contribute to new trends in development, AI & ML. This is what you bring along: • 5 or more years of relevant working experience • Proven experience in planning, implementing and managing machine learning models and the related infrastructure • Highly proficient with Python and experience with ML frameworks such as TensorFlow, PyTorch and scikit-learn • Experience with Azure Cloud, Docker, GitHub, Terraform • Experience with MLOps, CI/CD and related tooling • Experience with ETL/ELT and data transformation frameworks (e.g. Spark) as well as big data solutions (especially Databricks) • Solid understanding of machine learning algorithms • Experience in stakeholder management and direct client contact • Effective communication skills and fluent English Nice to have: • Experience in data architecture and database architecture • Experience in project management using agile methodologies such as SAFe, Scrum or Kanban • Fluent in German