Remote Machine Learning Engineer (m/f/d) - Berlin or remote
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Description:
The Machine Learning Engineer will be responsible for productionizing machine-learning models, implementing services, and contributing to the growth of the data science infrastructure.
Working within the Marketplace department, the role involves collaborating with Product Managers, Data Analysts, Data Scientists, Software Engineers, and other Machine Learning Engineers to enhance pricing decisions.
Tasks include designing and developing data-driven systems, working with large datasets, exposing machine learning models via APIs, and optimizing solutions for business-critical problems.
The position also involves enhancing the Data Science Software infrastructure, maintaining CI/CD pipelines, and promoting best practices across the organization.
Requirements:
Experience in training, deploying, serving, and monitoring Statistical/Machine Learning models on large-scale datasets in production.
Strong communication skills, teamwork abilities, and a willingness to collaborate with diverse teams.
Proficiency in data manipulation and machine learning libraries.
Previous experience in developing and maintaining microservices in a production environment.
Fluency in English for effective communication within the diverse team.
Passion for data science and a desire to contribute to the future of urban transportation.
Benefits:
Flexible working options including fully remote or hybrid models.
Sabbatical and special leave policies.
Partnership with WeRoad.
Additional time off on birthdays, 24th, and 31st December.
Short term EU work policy.
Mobility budget, health insurance, and Employee Assistance Program.