Data/ML-Ops Engineer

The position:

• Explore, design and build AI prototypes capable of significantly changing our users' experience.
• Work closely with Data Scientists to create ML solutions, test new algorithms, provide feedback on their performance, accuracy and scalability, and also suggest alternatives.
• Produce optimized, efficient, scalable, testable, maintainable and observable code.
• Design and implement pipelines that ingest large amounts of data in real time to feed models and generate accurate results.
• Manage ML model lifecycles, including versioning, training, retraining, deployment and monitoring.
• Be responsible for the maintenance and operation of algorithms, code and models in production and monitor models in production to ensure they are working and report any anomalies.


• Algorithm optimization:
• Participate in the development and implementation of recommendation and monetization algorithms...
• Design, develop and implement the data pipelines necessary to implement the predictive models.


• Testing and evaluation:
• Evaluate model performance using appropriate metrics.
• Perform and track the performance of A/B tests to validate new features and improvements.


• Collaboration:
• Work in an international and multi-brand context with teams in Europe, Canada and the USA.
• Participate in the ML/AI center of excellence to improve the customer experience and take advantage of generative AI for all the group's brands.
• Work closely with product squads and Growth teams to understand and meet their needs.
• Work with data engineers to ensure the quality of our data and the production of our models.
• Evangelize a data-driven culture in a highly collaborative environment. We want you to share your expertise!


• Technology culture:
• Stay up to date with advances in machine learning and data analytics to apply best practices to our business.

Qualifications - mandatory:

• Profile:
• With a 5-year degree (Engineering, software or mathematics), you have at least 5 years' experience in a similar position.
• You like to discover scientific methods and challenge those in place. You keep in mind the purpose of your work: Improve the performance of our dating application!


• Hard Skills:
• Full operational competencies in Python, SQL languages
• Full operational competencies in tools of GCP's machine learning (Vertex AI , Big Query ..) or similar cloud providers (AWS, Azure)
• Full operational competencies in industrialization of ML models (monitoring, alerting, managing of drifts with thresholds and metrics, retraining...)
• Full operational competencies in deployment of ML models in production
• Competencies in Machine Learning and Deep Learning techniques


• Soft Skills:
• You are comfortable communicating in English during meetings and day-to-day activities
• Excellent capacity for analysis and synthesis
• Excellent written and oral communication skills
• Rigorous scientific approach
• Team spirit and proactivity
• Curiosity and ability to learn

Qualifications - Nice to have:

• Knowledge of TensorFlow or PyTorch
• Operational competencies in Qlikview/Tableau or other BI tools
• Operational competencies in Scala, Spark
• Operational competencies in data bases Elasticsearch, PostgreSQL, Oracle, SQL Server