Applied ML Engineer: From Data to Production
Summary
Machine Learning Engineer at GN/Jabra's Engineering Excellence team in Ballerup, building ML models on real-world product data and taking them through the full lifecycle from data exploration to production deployment and ongoing improvement, using Python, Azure ML, Databricks and Azure DevOps.
GN is seeking a Machine Learning Engineer to build models on real-world product data and bring them into production. You will join the Engineering Excellence team and work across the model lifecycle, from data exploration to deployment and ongoing improvement.
You will collaborate with ML architecture, software engineering and data science colleagues in a production-oriented environment, using Python, Azure ML, Databricks and Azure DevOps to deliver reliable product capabilities.