Requirements:

Bachelor's 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).

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 necessary for calibrating the third-party model and benchmarking the accuracy.
Build reliable, production-grade feature pipelines to ensure data consistency between training and live inference.
Build infrastructure to support Data Scientist's model training cycles focusing on data versioning and reproducibility.
Contribute to the long-term vision of product image recognition while delivering short-term wins with measurable business impact.

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.