Senior AI Engineer

📋 Description

• Develop real-time recommendation engines: Build product and bundle recommendation engines
• Build targeted promotion algorithms: Develop personalized coupon and points issuance, behavioral
• Scale customer segmentation across markets: Expand the segmentation engine to support behavioral
• Extend personalization across touchpoints: Apply personalization models across web, app, and
• Own end-to-end ML pipelines: Build and operate pipelines from feature preparation in BigQuery and
• Measure business impact through experimentation: Design and evaluate A/B tests to demonstrate the

🎯 Requirements

• Hands-on experience building ranking or recommender systems that run in production.
• Strong Python and SQL skills, with experience using TensorFlow or PyTorch.
• Solid understanding of model evaluation and validation, including offline metrics and online
• Experience designing and analyzing A/B tests and experiments to measure model and business impact.
• Practical MLOps experience, including ML pipelines, model deployment, performance monitoring, and
• Experience with cloud data warehouses, ideally BigQuery and/or Snowflake, and pipeline

🎁 Benefits

• Physical Wellbeing: Our wellbeing program includes medical benefits, gym support, and personalised
• Work-Life Fusion: In very dynamic industries such as IT, the line between our professional and
• Emotional Wellbeing: We believe that to maintain our overall health, we need to invest in our
• Social Wellbeing: As a growing community in a hybrid environment, we want to ensure we remain