About the job
Join our dynamic Quick Commerce team as a Data Scientist and help elevate the customer journey by redefining the quick commerce landscape. Your expertise will be fundamental in developing scalable technologies that enhance our non-food offerings, penetrating new market segments and driving substantial revenue growth.
As part of our innovative Quick Commerce Team, you will play a pivotal role in establishing Delivery Hero as the premier platform for diverse products, enabling us to accelerate our growth and deliver unparalleled value to customers worldwide.
We are creating an AI-driven engine that simplifies the process for vendors to upload and manage their catalogs effortlessly on our platform. Collaborating closely with Data Engineers and Software Engineers, you will design, construct, and implement machine learning models aimed at automating content creation and optimizing product assortment.
This role is tailored for individuals with a robust foundation in applied machine learning, particularly in the realm of Computer Vision, who are eager to develop a dependable and scalable image recognition system. You will be tasked with formulating hypotheses, validating model accuracy, and bringing machine learning-powered services to life that accurately recognize and categorize product images, thereby facilitating real business impact.
If you possess strong coding skills, a problem-solving mindset, and thrive on tackling complex, high-scale applied machine learning challenges, we invite you to connect with us.
Key Responsibilities:
Experiment and deploy AI/ML models to automate image recognition of products at scale.
Conduct experiments: formulate hypotheses, validate model performance, analyze business impact, and convert insights into production-ready models.
Develop ML models to intelligently recognize products from images, extracting key details such as barcodes and names, and assisting with product categorization.
Stay abreast of advancements in state-of-the-art models (e.g., NLP, deep learning, computer vision, classification, LLMs) to identify the best solutions for our needs.
Collaborate closely with Machine Learning Engineers and Software Engineers to ensure that our solutions are scalable, reliable, and efficient in production environments.
Contribute to the long-term vision for product image recognition while achieving short-term objectives that generate measurable business impact.
