Senior Machine Learning Engineer (AI)

TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing production-grade machine learning systems for ecommerce and retail analytics with an accent on forecasting models and generative AI features. Focus on designing scalable data-driven products, implementing retrieval-augmented generation solutions, and managing the full MLOps lifecycle.

What you will do

• Build and deploy forecasting models tailored for ecommerce and retail analytics.
• Design, deploy, and monitor production-grade machine learning systems.
• Develop and integrate LLM-powered generative AI features into product offerings.
• Implement retrieval-augmented generation (RAG) solutions to enhance model performance.
• Deliver scalable, data-driven products that provide measurable business impact.

Requirements

• Proven experience in designing and maintaining production machine learning systems.
• Strong proficiency in Python and modern ML frameworks.
• Hands-on experience with LLM applications and generative AI development.
• Expertise in implementing retrieval-augmented generation (RAG) architectures.
• Solid understanding of MLOps practices and model monitoring.
• Experience with forecasting models and recommendation systems in a retail or ecommerce context.