Machine Learning Engineer for Sustainable Food Industry
3 days ago
Improvin is dedicated to addressing one of the world's most pressing challenges: sustainable food production.
Our approach focuses on primary production, which accounts for over 70% of the food industry's environmental impact. We assist food brands and processors in measuring, reporting, and reducing their supply chains' emissions.
Our mission is both crucial and urgent, driven by consumer demand, legislative requirements, and the commitment of forward-thinking food companies.
Would you like to make a meaningful contribution? Do you want to help create a more sustainable food industry?
About the Role.As a Machine Learning Engineer at Improvin, you will play a key role in developing a platform that helps food industry companies reduce their environmental footprint. We seek an individual with a strong passion for building data products – from creating and maintaining ETL flows and our data lake to working closely with large datasets, building machine learning models, and integrating with our web platform.
Machine learning will be increasingly utilized across our platform. Computer vision and remote sensing are already essential components and will continue to be important. Predictive models are also a significant part of our future plans, with existing examples including yield prediction.
You can expect competitive compensation, 30 days of paid vacation, and a pension plan. We will provide all necessary tools to support your professional growth as our rapidly scaling business evolves.
About the Team.We use English as our working language. Our hybrid work arrangement offers flexibility, but we require weekly office visits. We welcome applicants from both within and outside the EU, and we will do our best to support your transition.
Most importantly, we believe that a diverse workforce is essential to our success. We are committed to creating an inclusive workplace where all employees feel valued, respected, and supported, regardless of race, ethnicity, gender, sexual orientation, religion, age, or disability.
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