Job Description
What you will do
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...