Lead the design, architecture, and deployment of robust ML and data science solutions, taking ownership of the full lifecycle from early prototyping to scalable, production-ready MLOps pipelines.

Develop, deploy, and optimize algorithms and models for rankings, recommendations, conversion optimization, and dynamic pricing, balancing pragmatic, efficient solutions with cutting-edge advancements.

Apply large language models (LLMs) and associated strategies, to real-world applications such as entity extraction, automated content generation and automation of various operational processes.

Design, execute, and analyse online experiments (A/B tests) with rigorous statistical methods, to guide hypothesis-driven decisions. Applied knowledge of Causal Inference techniques is a plus.

Act as a strategic partner to Product Managers and business stakeholders; translate ambiguo...