Senior AI Engineer - G3 - ST

Senior AI Engineer - G3 - ST - J50304

Role Overview

We are hiring a Senior AI Engineer / Applied Scientist to build and scale ML systems powering ecommerce search, retrieval, and personalization. This is an 80% ML Engineering role focused on production systems, rapid experimentation, and measurable business impact.You will own end-to-end AI solutions across matching, retrieval, ranking, and GenAI-powered experiences, from prototyping to deployment at scale.

Required Qualifications

• 5-8+ years of experience in ML Engineering / Applied AI
• Strong experience with:
  • Search, retrieval, and ranking systems
  • NLP / embeddings / deep learning models
  • Experimentation and evaluation methodologies
• Proven track record of building production-grade ML systems
• Strong proficiency in Python
• Hands-on experience with Databricks and Kubernetes-based deployment (AKS preferred)
• Ability to learn quickly and operate independently in a fast-evolving AI landscape

Core Responsibilities

• Design, build, and improve ML models for:
  • Product matching / entity resolution
  • Semantic retrieval and search relevance
  • Ranking and recommendation systems
• Develop and optimize multi-stage ranking pipelines (candidate generation ranking re-ranking)
• Run experimentation frameworks (offline evaluation, A/B testing) to drive continuous improvement
• Apply reinforcement learning / bandits for personalization and ranking optimization
• Build and deploy GenAI and agentic AI systems for search, discovery, and content use cases
• Productionize ML systems using Databricks-based pipelines and deploy services via AKS (Azure Kubernetes Service)
• Design scalable, reliable ML infrastructure with focus on latency, throughput, and cost efficiency
• Monitor model performance and continuously iterate using MLOps/LLMOps best practices
• Independently scope ambiguous problems and drive them from idea production