Senior ML Engineer (B2B Personalization)

📋 Description

• Lead the technical development of the first B2B personalization capability, from data exploration
• Explore large behavioral and operational datasets to identify meaningful patterns, similarities
• Develop behavioral representations and features that combine operational, commercial, service, and
• Experiment with clustering, embeddings, similarity models, propensity modeling, recommendation
• Evaluate when different machine learning techniques create genuine business value rather than
• Explore generative and agentic AI applications that can translate recommendations into concrete

🎯 Requirements

• Proven experience applying Machine Learning to real-world business problems, with a strong
• Hands-on experience with unsupervised learning, clustering, feature engineering, recommendation
• Familiarity with techniques such as K-Means, hierarchical clustering, DBSCAN/HDBSCAN, Gaussian
• Strong Python and advanced SQL skills, with the ability to work with large datasets, structured
• Experience with data pipelines, feature pipelines, data lakes or warehouses, and APIs or services
• Ability to move beyond exploratory analysis and deliver working prototypes without needing to be a

🎁 Benefits

• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended parental leave.
• Access to fitness, health, and wellness professionals through Wellhub/Gympass and TotalPass.
• Profit-sharing program (PLR).