Data Engineer, Image Recognition (Quick Commerce)

About the opportunity

We are on the lookout for a Data Engineer 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 Engineer you will work side-by-side with a Data Scientist and Software Engineers to design build and deploy ML models that automate content creation and power a smarter product assortment. 

We need a Data Engineer but someone who is interested in transitioning to an MLE role in the future once the product is more mature. This means this is a role for someone who has a strong background in applied ML and is hungry to build a reliable and scalable image recognition system.

If youre a strong coder with a problem-solving mentality and thrive in high-scale applied ML problems wed love to talk.

THE JOURNEY

• Design and build resilient ETL/ELT pipelines to ingest clean and validate image data and associated metadata (e.g. vendor catalog features).

• Work with the Data Scientist to create and maintain the Ground Truth dataset (human-validated accurately labeled data) necessary for calibrating the third-party model and benchmarking the accuracy.

• Build reliable production-grade feature pipelines to ensure that data used during model training is identical to the data used during live inference (avoiding training/serving skew).

• Build the automated infrastructure to support the Data Scientists model training cycles focusing on data versioning and reproducibility.

• 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 Engineer or Machine Learning Engineer.

• Advanced knowledge of SQL and distributed processing frameworks.

• Excellent engineering skills: write clean maintainable Python code.

• Strong systems-level problem-solving skills with the ability to balance performance scalability maintainability and business impact.

• 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 on Computer Vision (CV).

• Excellent engineering skills: Experience bringing ML models into production with best practices for observability monitoring and performance.

• Experience with CI/CD pipelines and commonly used tools in ML Engineering such as Metaflow MLflow Airflow Grafana and similar.

• Experience with large-scale ML model validation experimentation and A/B testing.

• Hands-on experience with major cloud platforms (AWS GCP or Azure) and containerization technologies (Docker Kubernetes).

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