As an Associate ML Engineer, you will work as part of a project team on the development of new machine learning applications and take responsibility for your own tickets and work packages; You will work on our state-of-the-art AI/ML cloud platform with over 300GB of data processed daily and features such as infrastructure as code, CI/CD pipelines, event-driven/serverless architecture and separate processing pipelines for ETL, model training and inference; You will also sharpen your analytical skills by performing advanced data analysis with SQL and Apache Spark on distributed systems, as well as model selection and model training with cutting-edge frameworks (TensorFlow, PyTorch, etc.); You will be given a lot of freedom to develop yourself and our division - with us you can and should shape things, contribute your ideas and take on responsibility
Requirements:
You have a university degree in computer science, data science or data engineering, mathematics, physics, statistics, engineering or economics or in a comparable field with (very) good grades; Ideally, you have already used your programming skills (esp. SQL and Python) in software development, have first experiences with cloud services (AWS, Azure or GCP) and/or Machine Learning; Numbers, data and statistics are not foreign words to you, but topics for which you have been enthusiastic for a long time; You like to proactively initiate topics and are always enthusiastic about what you are doing; You have excellent English skills, German skills are an advantage
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Associate ML Engineer (m/f/d) As an Associate ML Engineer, you will work as part of a project team on the development of new machine learning applications and take responsibility for your own tickets and work packages; You will work on our state-of-the-art AI/ML cloud platform with over 300GB of data processed daily and features such as infrastructure as code, CI/CD pipelines, event-driven/serverless architecture and separate processing pipelines for ETL, model training and inference; You will also sharpen your analytical skills by performing advanced data analysis with SQL and Apache Spark on distributed systems, as well as model selection and model training with cutting-edge frameworks (TensorFlow, PyTorch, etc.); You will be given a lot of freedom to develop yourself and our division - with us you can and should shape things, contribute your ideas and take on responsibility You have a university degree in computer science, data science or data engineering, mathematics, physics, statistics, engineering or economics or in a comparable field with (very) good grades; Ideally, you have already used your programming skills (esp. SQL and Python) in software development, have first experiences with cloud services (AWS, Azure or GCP) and/or Machine Learning; Numbers, data and statistics are not foreign words to you, but topics for which you have been enthusiastic for a long time; You like to proactively initiate topics and are always enthusiastic about what you are doing; You have excellent English skills, German skills are an advantage
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