About Agrivero Agrivero is a young technology company dedicated to making coffee supply chains more efficient, traceable, and fair. We create AI-powered solutions to automate coffee quality control and improve traceability, helping producers and suppliers maintain high standards. Our first product, VeroLab 1.0, is already on the market, with new units shipped worldwide every week.
As a bootstrapped company, we embrace a no-waste culture, flexibility, and long-term planning. These values are in our DNA, and we look for talented individuals who want to grow with us. We are committed to generous knowledge-sharing, honesty, and creating an environment where everyone can thrive.
Introduction Currently, we are looking for a Machine Learning Working Student to support the deployment of our products for customers. You will work closely with the Agrivero team and extended team to monitor the performance of our products in the field and customize already developed ML models for our customers.
As a part of Agrivero.ai, you will have the opportunity to make a big contribution to our product. You will not only work on the implementation but also be involved in the ideation and planning process.
Your responsibilities: - Perform in-depth analysis of the behavior and properties of the ML pipeline deployed on VeroLab 1.0 devices
- Manage data versions
- Retrain customized ML models using newly acquired data from customers
- Document and communicate experiments and research findings
- Write clean code and take part in code reviews
- Work independently, show initiative, and report regularly to your team members
Your profile:- Master Student of Computer Science or related field with 1+ years of relevant work experience
- Focused on ML for images and with experience in deep learning methodologies and frameworks
- Good programming skills in Python
- Understanding cloud computing applications is a plus
- Fluent in English with strong communication skills
- Team player
Nice to know:- We offer flexible working hours, 75% overlap with the CET time zone is preferred
- You can work from an office in Berlin or remotely, however, we will prefer candidates who are registered in Berlin or ready to relocate
- Start: January 2025
We value equality and diversity and are looking forward to applicants of any gender, religion, and ethnicity.
How to apply:Send us your CV to eduard@agrivero.ai and a few words about why you want to join our team.