Within the Serenity team, we provide a common platform and tooling to Adevinta Marketplaces to review any kind of user generated content, ensuring that things that get published are highly qualitative and not fraudulent. Engineers in our team work to make these millions of events going through our system so it gets reviewed both automatically by our services and manually by local moderators team.

This large data set is also one of the most diverse and rich data sets in the world with local moderators team labelling our data in each country. We also need to make our machine learning models eloquent so that our moderators get as much insight as possible when making a decision. You will be able to work with the latest data technologies and have the ability to see your insight turned into knowledge on an ongoing basis.

Responsibilities :

• Develop highly scalable classifiers and tools leveraging machine learning, regression, heuristics and rules-based models
• Code deliverables in tandem with the engineering team using the best development practices and tools
• Adapt standard machine learning methods to best exploit our production environment
• Communicate the best development practices within the organisation (i.e. code reviews, testing, etc)
• Continuously monitor the quality of our models, design measurements to monitor their performance
• Keep on top of the latest and greatest developments in data science fields
• Troubleshoot issues in production when things go wrong

• Work experience in one or more of the following: NLP, pattern recognition, data mining, anomaly detection, time series predictions, fraud detection, deep learning
• Experience with delivering models from data exploration to production with the required technologies
• Experience in systems software or algorithms
• Knowledge in python
• Strong analytical/problem solving skills
• Experience with modern software development and systems tools like Git, Travis or similar
• Excellent communication skills, verbal and written

What would be a plus:

• Experience with Docker, AWS, GCE, Kubernetes, Kafka and similar technologies
• Cross group and cross culture collaboration
• Git repo to coding competitions or contributions in open source repositories

1. Practical case: real case ranking and NLP
2. Machine Learning Fundamentals: Machine Learning concepts
3. System Architecture: how to put models in production
4. Culture fit: culture fit with the team

Welcome on board!