Data Scientist, Image Recognition (Quick Commerce)

Delivery Hero

Not Interested
Bookmark
Report This Job

profile Job Location:

Barcelona - Spain

profile Monthly Salary: Not Disclosed
Posted on: 2 hours ago
Vacancies: 1 Vacancy

Job Summary

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. Youll help build technology that scales our non-food offerings reaching new market segments and driving revenue growth. By innovating within our Quick Commerce Team youll 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 youre a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems wed 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.


Qualifications :

WHAT YOU WILL BRING TO THE RIDE

  • Bachelors degree in computer science information systems mathematics statistics or a related field.

  • 3 years of professional experience as a Data Scientist focusing heavily on Computer Vision (CV).

  • Deep expertise in relevant frameworks (e.g. PyTorch TensorFlow).

  • Proven experience with Object Detection Image Segmentation and Classification.

  • Experience with model versioning tracking (MLflow Weights & Biases) and ensuring models are deployable in production environments (Docker Kubernetes)

  • Excellent communication skills with the ability to clearly articulate complex technical problems and solutions to both engineers and business stakeholders.

Nice to have:

  • PhD in AI Machine Learning or a related field.

  • Experience integrating ML models into low-latency real-time API services.

  • Experience in fine tuning Large Language Models.

  • Familiarity with cloud platforms (GCP preferred).

  • Proven ability to design and scale ML systems under strict latency throughput and cost constraints balancing innovation with operational excellence.


Additional Information :

Individuals representing diverse profiles and abilities encompassing various genders ethnicities and backgrounds are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you dont meet our musts dont let it stop you we are all about finding the best talent out there! Skills can be learned and embracing diversity is invaluable.

We believe driven talent deserves:

  • Monthly Glovo credits to satisfy your cravings!
  • Discounted gym memberships to keep you energized.
  • Extra time off the freedom to work from home two days a week and the opportunity to work from anywhere for up to three weeks a year!
  • Enhanced parental leave and office-based nursery.
  • Online therapy and wellbeing benefits to ensure your mental well-being.

Here at Glovo we thrive on diversity we believe it enhances our teams products and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders racial/diverse backgrounds abilities ages sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work fostering an inclusive environment where everyone feels heard. 

Feel free to note your pronouns in your application (e.g. she/her/hers he/him/his they/them/theirs etc).

So ready to take the wheel and make this the ride of your life 

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!

Here at Glovo we thrive on diversity we believe it enhances our teams products and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds all genders racial/diverse backgrounds abilities ages sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work fostering an inclusive environment where everyone feels heard.

Feel free to note your pronouns in your application (e.g. she/her/hers he/him/his they/them/theirs etc).

So ready to take the wheel and make this the ride of your life

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!


Remote Work :

No


Employment Type :

Full-time

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. Youll help build technology that scales our non-food offerings reaching new market segments and driving reven...
View more view more

Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

Company Logo

As the world’s leading local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech but driven by people. As one of Europe’s largest tech platforms, we enable ambitious talent to del ... View more

View Profile View Profile