- 3+ years of experience productionizing ML models and data pipelines following ML Ops and DevOps best practices, auditing existing ML models
- 5+ years of experience architecting large-scale enterprise data and ML solutions
- Experience developing automation scripts – Infrastructure as Code on Terraform, Pulumi or PowerShell
- Strong comprehension of data structures and algorithms required, developer background (Python, PySpark is required)
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