Job Description
Elevate your engineering career with Faire as a Staff Machine Learning Platform Engineer, focusing on scalable ML platforms with a hybrid work model. You will work on model training, deployment, and data governance.
In this pivotal role, you’ll bridge data science and production engineering with 8+ years of experience required. Key skills include expertise with Databricks, Spark, and MLflow, along with proficiency in Python and SQL. Your work will empower thousands of local businesses by optimizing the ML infrastructure.
Key Responsibilities:
• Design and operate ML infrastructure for optimal performance
• Productionize ML workloads using Spark and Databricks Workflows
• Teach data scientists to transition from notebooks to production
• Implement data governance with Unity Catalog
• Build CI/CD pipelines using Terraform and GitHub Actions
Requirements:
• 8+ years in ML or data platforms
• Degree in Computer Science or related field
• Hands-on experience...
In this pivotal role, you’ll bridge data science and production engineering with 8+ years of experience required. Key skills include expertise with Databricks, Spark, and MLflow, along with proficiency in Python and SQL. Your work will empower thousands of local businesses by optimizing the ML infrastructure.
Key Responsibilities:
• Design and operate ML infrastructure for optimal performance
• Productionize ML workloads using Spark and Databricks Workflows
• Teach data scientists to transition from notebooks to production
• Implement data governance with Unity Catalog
• Build CI/CD pipelines using Terraform and GitHub Actions
Requirements:
• 8+ years in ML or data platforms
• Degree in Computer Science or related field
• Hands-on experience...