Sr. AI Engineer-Promo Optimisation
Core
Build and scale production-grade AI/ML systems for personalized promotions, offer decisioning, and marketing optimization at a Fortune 50 retailer.
Role type
Senior AI Engineer (Promo Optimization)
Builds
Scalable AI/ML pipelines, model-serving APIs, and intelligent decisioning platforms for marketing and guest engagement.
Domain
Retail / Marketing Science / Optimization
Deliverable
production ML models
Required skills
Python, MLOps, distributed data processing, API design, model deployment, SQL, system design, observability
Preferred skills
Generative AI, LLMs, RAG, agentic AI workflows, optimization models, Kubernetes, cloud ML platforms
Technologies
Python, Kafka, Spark, SQL, NoSQL, Docker, Kubernetes, Airflow, MLflow, Kubeflow, Ray, LangChain, LlamaIndex, TensorFlow, PyTorch, XGBoost, scikit-learn
Responsibilities
Build production-grade AI/ML applications and services; design scalable data and ML pipelines; implement end-to-end model training, evaluation, and deployment; partner with Data Scientists to convert prototypes to production systems; build and deploy REST APIs and microservices; design scalable inference systems for promotion decisioning; support production deployment and release management; implement MLOps capabilities; implement observability and reliability mechanisms; optimize AI/ML services for performance; evaluate and integrate Generative AI and LLM components; explore agentic AI workflows; contribute to design reviews and engineering standards; troubleshoot production issues; create reusable frameworks and best practices.
Seniority
Senior, hands-on IC