Data Scientist, Image Recognition - (Quick Commerce)

We are on the lookout for a Data Scientist to join our Quick Commerce team on our journey to always deliver amazing experiences.

Be part of redefining how customers experience quick commerce. You’ll help build technology that scales our non-food offerings, reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team, you’ll make Delivery Hero the go-to platform for a broad range of products, helping us grow faster and deliver more value to customers around the world.

We are building the AI engine that helps vendors upload and update their catalog on our platform in the easiest and quickest way possible.

As a Data Scientist, you will work side-by-side with Data Engineers and Software Engineers to design, build, and deploy ML models that automate content creation and power a smarter product assortment.

This is a role for someone who has a strong background in applied ML, particularly in Computer Vision, and is hungry to build a reliable and scalable image recognition system. You will drive hypotheses, validate model accuracy, and bring ML-powered services to recognize and categorize products images into production with real business impact.

If you’re a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems, we’d love to talk.

THE JOURNEY

• Experiment, and deploy AI/ML models/Agents to automate products images recognition at scale.

• Drive experimentation: formulate hypotheses, validate model performance , analyze business impact, and turn insights into production-ready models.

• Develop and provide ML models to intelligently recognize products based on their images, extracting product details (like barcode, name), product categorization, etc.

• Keep yourself up to date and apply state-of-the-art models (e.g., in NLP, deep learning, control vision, classification, LLMs/AI agents) to see what truly works best for us.

• Collaborate closely with MLEs and Engineers to ensure solutions are scalable, reliable, and fast in production.

• Contribute to the long-term vision of products image recognition, while delivering short-term wins that unlock measurable business impact.