Your tasks:Design and implement libraries, frameworks and services (e.G. in Python, Scala)Contribute to improving the machine learning lifecycle, e.G.:Continuous delivery for MLFunctionality for monitoring quality of ML models over timeBuild tooling that allows for estimating effects of ML modelsFacilitating the transition from model development to deployment of modelsDesign and implement components in a sustainable fashion (e.G. automating training of ML models; balance between complexity of models, computational costs, ease of use)Contribute to our Machine Learning Platform and Data Platform by developing reusable data processing components, utility functions, etc.Support Data Scientists and Engineers from the company, enabling them to use the platform we are buildingYour skills:BSc or higher degree in Computer Science or similar disciplineExperience on cloud environments (preferably AWS)Very good programming skills in PythonExperience with the full machine learning lifecycleSound theoretical and practical knowledge about machine learning and operating ML-based solutionsSolid experience and enthusiasm to design scalable architectures (in particular in distributed systems)Good communication skillsProficient English language skills (German is not required)NICE TO HAVE:Experience with Scala (or any other JVM based language)Experience with Hadoop ecosystemExperience with developing search and recommender services throughout their lifecycleAbout the job:Our Data Science, Engineering and Infrastructure team is responsible for helping to turn data into services and products for New Work SE.Over 20 scientists and engineers work together to create highly scalable solutions which serve millions of users.We work on problems related to information extraction, mining user interests, search, recommender systems, etc. and make use of data mining and machine learning techniques to tackle these problems.We are an international team with people working from multiple locations in Germany, Spain and Portugal.We are working intensively on a platform for automated machine learning. Therefore, we are seeking a Machine Learning Engineer who can help us with the design and development of libraries, tools, frameworks and platform services that facilitate development of ML-based components and services.With our work we are trying to make machine learning development more efficient for the Data Scientists and Data Engineers in the company.Your benefits:Individual development measuresFlexible work at home optionFlexible & confidential working hoursFree snacks and drinksMobile devices for private useChristmas PartyRestaurant Vouchers12 weeks WorkationHack WeeksTransparent, competitive salary#J-18808-Ljbffr