Senior ML/AI Engineer
Core
Design and operate large-scale ML platforms and agentic AI solutions for personalized offers in retail loyalty programs.
Role type
Senior ML/AI Engineer (Retail Personalization)
Builds
ML platform layer (feature store, training pipelines), agentic AI systems for model improvement, and end-to-end analytical pipelines.
Domain
Retail, Loyalty Programs, Personalization
Deliverable
production ML models | product features | infrastructure
Required skills
Python (production-grade), PySpark, SQL, Deep Learning (PyTorch/TensorFlow), Gradient Boosting (LightGBM/XGBoost), Recommender Systems, Offline Evaluation, Cloud ML Platforms (Vertex AI/SageMaker/Azure ML), Workflow Orchestration (Apache Airflow), Infrastructure-as-Code (Terraform)
Preferred skills
Agentic AI architectures, LLM-based solutions, BigQuery, Cloud IAM
Responsibilities
Develop deep understanding of retail business and loyalty programs; Design offline evaluation frameworks with explicit success criteria; Research and apply modelling methodology for business problems; Build and optimize large-scale feature engineering; Design and operate ML platform layer; Design and implement agentic AI solutions; Lead optimization and orchestration of end-to-end analytical pipelines; Raise engineering standard through code review and mentorship.
Seniority
Senior, hands-on IC