Remote Machine Learning Engineer (m/f/d) - Berlin

Description:

• The position is for a Machine Learning Engineer (m/f/d) based in Berlin or Hamburg, with the option to work 100% remotely within the EU.
• The role involves productionizing machine-learning models, implementing services, and enhancing the data science infrastructure.
• The engineer will collaborate with Product Managers, Data Analysts, Data Scientists, Software Engineers, and other Machine Learning Engineers to improve pricing decisions.
• Daily tasks include designing and developing high-performance, data-driven systems, working with large data sets, exposing machine learning models via APIs, and optimizing solutions for critical business problems.
• The engineer will also enhance the Data Science Software infrastructure and maintain CI/CD pipelines in testing and production environments.
• The role emphasizes championing best practices and fostering a culture of growth and technical excellence.

Requirements:

• Candidates must have experience in training, deploying, serving, and monitoring Statistical/Machine Learning models on large-scale datasets in production.
• Effective communication skills and the ability to collaborate with diverse teams are essential.
• Experience with data manipulation and machine learning libraries is required.
• Candidates should have experience developing and maintaining microservices in a production environment.
• Proficiency in English is necessary, as it is the primary language of communication within the team.
• A passion for data science and a desire to contribute to the future of urban transportation are important.

Benefits:

• The position offers flexible working arrangements.
• Employees have access to LinkedIn Learning for professional development.
• There are sabbatical and special leave policies available.
• A partnership with WeRoad is included for travel opportunities.
• Employees receive time off on their birthday and on the 24th and 31st of December.
• A short-term EU work policy is in place.
• Mobility Credit and Health Insurance are provided.
• An employee assistance program is available for support.
• Additional local benefits may vary depending on the work location.