Machine Learning Platform Engineer

Position: Machine Learning Platform Engineer Role
Join Faire as a Staff Machine Learning Platform Engineer to drive innovation in a local retail ecosystem. Enhance model operations with a robust machine learning infrastructure.

In this role, you will bridge the gap between data science and engineering, driving improvements in machine learning workflows. With your extensive background, you will support multiple teams while ensuring high performance and reliability in model training and inference. Embrace an exciting challenge to operationalize ML development at Faire.

Key Responsibilities:

• Develop and maintain ML infrastructure, clusters, and workflows

• Optimize ML workloads using modern tools like Databricks

• Educate teams on production-level ML practices

• Establish effective data governance with Unity Catalog

• Create and manage CI/CD pipelines with Terraform

Requirements:

• Minimum of 8 years in ML or data platform engineering

• Graduate degree in relevant technical discipline

• Hands-on expertise in Databricks, Spark, and MLflow

• Strong skills in Python, SQL, and cloud infrastructures

• Knowledge of best practices in MLOps

Elevate your career while helping Faire empower local communities through technology.
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