Data Scientist, Image Recognition - (Quick Commerce)

apartmentDelivery Hero placeBarcelona calendar_month 

Experteer Overview

In this Data Scientist role within Glovo's Quick Commerce team, you will build an AI engine to streamline catalog upload and updates, and develop ML-powered image recognition to power product assortment. You will work with data and software engineers to design, train, and deploy CV models that scale and impact business metrics.

This role offers hands-on development of production-grade ML services at high scale, shaping how customers experience quick commerce. You will join a mission-driven team delivering measurable value and rapid iterations.

Compensaciones / Beneficios
  • Design, train and deploy ML models that automate content creation and recognize products from images at scale
  • Experiment and validate model performance, translating insights into production-ready models
  • Develop models to extract product details (e.g., barcode, name) and categorize products from images
  • Collaborate with MLEs and software engineers to ensure scalable, reliable, low-latency solutions
  • Contribute to the long-term vision of product image recognition while delivering short-term wins
  • Stay up-to-date with state-of-the-art models and apply them to real business problems
Responsabilidades
  • Bachelor in Computer Science, Information Systems, Mathematics, or Statistics, or a related field
  • 3+ years of professional experience as a Data Scientist with a strong focus on Computer Vision
  • Deep expertise in PyTorch or TensorFlow
  • Proven experience with Object Detection, Image Segmentation, and Classification
  • Experience with model versioning/tracking (MLflow, Weights & Biases) and deploying models in production (Docker, Kubernetes)
  • Excellent communication skills for explaining complex technical concepts to engineers and business stakeholders
Requisitos principales
  • Monthly Glovo credits
  • Discounted gym memberships
  • Extra time off
  • Work from home two days a week
  • Work from anywhere for up to three weeks a year
  • Enhanced parental leave
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