Machine Learning / Computer Vision Engineer

Machine Learning - Croatia or remote

Our mission is to restore the value of food, ensuring it is appreciated and not wasted. We are a fast-growing and determined team, driven by personal experience. Witnessing food waste in the hotel and restaurant industry inspired us to take action and work toward eliminating this avoidable waste.

We are looking for a passionate Machine Learning / Computer Vision Engineer to help us boost our ML pipeline performance for visual food waste classification.

Your Job & Responsibilities

- Research state-of-the-art ML approaches for image classification andsegmentation

- Adjust ML approaches to our specific needs and come up with innovativesolutions

- Design, train and evaluate ML models

- Proactively communicate with Customer Support team and improve modelsbased on feedback from production

- Keep MLOps in check and production pipeline running

- Optimize models for compute and cost efficiency

Skills and Requirements

- Very good understanding of ML concepts

- Good understanding of Computer Vision concepts

- Proficient inPython

- Experience withPyTorch is a strong plus

- Experience withGit, DVC and SQL is very much appreciated

- Willing to work in a multidisciplinary team

- Good communication skills

What we offer you and who we are

- Actively shape our data-driven solution to fight food waste

- Be part of a young, motivated team

- Flexible working hours

- Have huge impact on the production, accuracy and quality of ML

Your turn! How to apply

We'd love to learn who you are and why you would liketo join our team. Therefore, please send your CV including references& degrees and a two-minute video using Loom introducingyourself and why you want to join KITRO. Please send your complete applicationdirectly via email to talent@kitro.ch.

Next Steps

Once we've received your complete application allowfor a few days for us to review it and get back to you.

  • Submit a 1-2min Loom video along with your CV and documents.
  • Screening call
  • 20min interview with Head of ML
  • Technical interview with Head of ML
  • Personality and value alignment test
  • 30min final interview

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