Description

Role Scope:
Architect and optimize Redshift data models and pipelines
Build and automate Azure ML training and inference workflows
Define and implement MLOps foundations: CI/CD, model registry, monitoring
Collaborate cross-functionally with Data Engineering, Marketing, and Product
Author solution designs, mentor engineers, and ensure responsible AI practices
Required Experience:
7–10+ years in data/ML architecture (B2C or eCommerce)
Expert-level SQL and Redshift performance tuning
Hands-on Azure ML, ADF; familiarity with AKS/Functions
Strong MLOps foundations (experiments, CI/CD, monitoring)
Preferred Skills:
dbt, Airflow/Prefect, modern ELT practices

Key Skills

Education

Any Graduate