Data-Driven Solutions Engineer

8 hours ago


Stockholm, Stockholm, Sweden Improvin Full time
About Improvin'

We exist to address one of the world's most pressing challenges: sustainable food production.

Our solution focuses on primary production, which accounts for over 70% of the food industry's emissions. We help food brands and processors measure, report, and reduce their climate impact. Our goal is to create a more environmentally friendly food industry.

Do you want to make a meaningful difference in the world? Do you want to contribute to reducing the environmental footprint of the food industry?

About the Role

As a Machine Learning Engineer at Improvin', you will play a key role in building a platform that helps companies in the food industry lower their climate footprints. You will be responsible for creating high-quality, data-focused products and machine learning models with an emphasis on performance and availability.

We are looking for someone who shares our passion for sustainability and has hands-on experience running machine learning models in production. Extensive experience in machine learning, particularly in computer vision, can compensate for fewer total years of experience.

You'll receive competitive compensation and benefits, as well as opportunities for growth and professional development. We strive to provide all the tools necessary for you to excel in your role.

About the Team

We use English as our working language. Our hybrid work setup is flexible, but we expect you to come into the office on a weekly basis. We accept applicants from both inside and outside the EU and will do our best to support your transition.

How You Make an Impact
  • Design and implement scalable, reliable, and secure data processing pipelines, storage solutions, and databases.
  • Monitor and troubleshoot data platform issues, implementing solutions to prevent future problems.
  • Own and implement data security and privacy policies, including access control, encryption, and data masking.
  • Contribute to a team's continuous work towards a shared technical vision.
  • A proactive approach to identifying pain points, risks, and opportunities in an iterative development process.


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