Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Core
Lead end-to-end ownership of a strategic customer intelligence platform combining ML, GenAI, and large-scale transaction data to identify shopping missions and behavioral patterns for personalization and marketing.
Role type
Senior hands-on ML/AI Engineer (GenAI & Production)
Builds
Production ML and GenAI engines for customer analytics, personalization, and merchandising
Domain
Retail / Customer Intelligence / Machine Learning
Deliverable
production ML models
Required skills
Python, PySpark, SQL, Supervised/Unsupervised Learning, Prompt Engineering, LLM Selection & Tuning, MLOps, LLMOps, Azure, Databricks
Preferred skills
Customer intelligence, Recommendation systems, Behavioral modelling, Large-scale batch inference, RAG, Vector databases
Responsibilities
Lead technical transition of third-party engine to owned capability, Run production platform end-to-end, Own ML and GenAI capabilities including evaluation and controls, Build rigorous evaluation frameworks, Implement production controls for GenAI, Refactor architecture for long-term needs, Establish MLOps and LLMOps practices
Seniority
Senior, hands-on IC
