Machine Learning Engineer

As a Machine Learning Engineer at BigData Republic, you are a hands-on expert who delivers machine learning solutions to production. You not only build models, but also advise clients on the best approach to achieve sustainable business value.

Machine Learning Engineering sits at the intersection of MLOps, software engineering and cloud engineering. You work in multidisciplinary teams with clients on end-to-end machine learning solutions: from idea to production. This can range from a relatively simple model with direct business impact to advanced techniques such as causal inference, reinforcement learning and deep learning.

We approach ML solutions as full-stack software projects. Technologies we frequently use include Python, Airflow, Spark, Kafka, Docker, TensorFlow, PyTorch, Kubernetes and Terraform on all major cloud platforms and private cloud environments. Production is essential: scalable deployment, model interfaces and monitoring are key parts of your work.

You work on complex challenges for large organizations in various sectors, while being part of a small, informal and tight-knit team of experienced MLOps and Data Engineers (approximately 10 colleagues).