Job description
Ensure that ML models are implemented in the most efficient manner, so that the application can run smoothly and be easily understood in case of handover/bugs.Improve the efficiency that the data scientists by building reusable pieces of code to make data science work more efficient.Lead the way of setting coding standards and following the teammates so that the process gets better each time.Partner with IT to define ML model monitoring.Request
Degree in computer science/IT with emphasis in machine learning or equivalent in experienceStrong Experience in Python, RDeployment of ML models in production. Industry experience in agile development and DevOps (Docker, Kubernetes)Big Data platforms (ex. Databricks, GCP, AWS, Azure, Cloudera) – preferably coding in pysparkExperience as software engineer/developer with Min. 5 Years of experience