Sr Data Scientist - AI Engineer
Core
Establishing foundational operational frameworks (MLOps, LLMOps, AIOps) and building agentic AI solutions that reason over enterprise data to orchestrate core data science models into production workflows.
Role type
Senior IC Agentic AI Engineer / MLOps Lead
Builds
Production-grade agentic AI systems, multi-step workflows, and reusable AI services for enterprise decision intelligence.
Domain
Retail / Ecommerce / Merchandising
Deliverable
production ML models
Required skills
Agentic AI development, MLOps/LLMOps/AIOps practices, Python, SQL, RAG/retrieval systems, embeddings, API integration, containerization (Docker/Kubernetes), cloud deployment (GCP), agent orchestration frameworks, Infrastructure-as-Code (IaC), automated testing, CI/CD automation, AI observability and governance.
Preferred skills
GenAI/LLM solution development, tool calling, reasoning and planning, state and memory management, structured outputs, MCP/A2A protocols, merchandising domain expertise, space planning, assortment planning.
Technologies
Python, SQL, Docker, Kubernetes, GCP, MCP, A2A
Responsibilities
Design and develop algorithms and models for large datasets; Automate model and agent lifecycles with observability and governance; Mentor junior team members; Collaborate with business partners to define project goals and drive implementation; Define best practices for model productionalization and contribute to reusable algorithm libraries.
Seniority
Senior, hands-on IC with mentorship responsibilities
