Principal ML Architect
Core
Design scalable software systems and ML pipelines, aligning architecture with business requirements and MLOps maturity.
Role type
Principal ML Architect (Software Architecture & MLOps)
Builds
Cloud-based ML systems, data pipelines, and MLOps infrastructure
Domain
Consumer intelligence, retail analytics, cloud infrastructure
Deliverable
production ML models | infrastructure
Required skills
software architecture design, cloud data pipelines, MLOps strategy, system scalability, stakeholder collaboration, technical documentation
Preferred skills
Python, machine learning projects, data transformations (pandas, spark, arrow, Databricks), architecture documentation tools (ADOIT)
Technologies
Azure, AWS, GCP, Databricks, Spark, pandas, arrow
Responsibilities
Design scalable software systems focusing on quality and performance; lead systems architecture decisions; collaborate with Research Leads and Product Owners to design ML pipelines; create and maintain technical documentation; participate in design conversations for critical on-premise or cloud systems; design monitoring pipeline strategies with Data Science teams
Seniority
Principal, hands-on IC with leadership