<h1>In a nutshell </h1> <p>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.

</p> <p><br>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.

Habilidades

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 ma...