SeniorMachineLearningEngineer

In a nutshell As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact. All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician. Tricks of the trade You will definitely: Identify and execute improvement possibilities together with other ML Engineers and (product) analysts Collaborate on your project from inception to production, to continuous improvement Develop tools and enhancements for our cloud-based Machine Learning platform You could work on various projects and fields, such as: Demand forecasting: delivery, article, trip volumes, used Picnic-wide Fraud detection: helping us keep troublemakers out of our store Recommendation systems: generating useful in-app grocery suggestions Search and ranking: helping our customers find exactly what they need Predicting delivery drop-off times: making sure we’re on-time at every customer’s door Vision: ensuring quality control and smooth operations within our warehouses Check out some of our previous machine learning projects here: https://blog.picnic.nl/tagged/machine-learning We’re looking for Master’s degree or higher in AI, Computer Science, Mathematics, or a related field 5+ years of experience in data science or applied machine learning Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together Experienced in designing, deploying, and maintaining production ML systems, with solid softwar