Machine Learning Platform Engineer - Hybrid Role

Join Faire as a Machine Learning Platform Engineer to transform retail through advanced technologies. Work in a hybrid model designed to support local businesses while implementing state-of-the-art ML solutions.

This role requires 8+ years of experience in building ML platforms, with a technical focus on data operations and governance. As a vital link between data scientists and engineering, you will enhance model deployment and productivity while mentoring your team in platform functionalities. Your work will empower small businesses in a fast-evolving market.

Key Responsibilities: • Operate ML infrastructure for scalable model deployments • Teach data scientists to advance models from concept to production • Implement and optimize CI/CD pipelines for ML workloads • Manage data access control and observability with Unity Catalog • Maintain technical documentation for the ML platform

Requirements: • 8+ years building production ML platforms • Expertise in Databricks, Spark, and MLflow • Solid understanding of Python and SQL • Experience with AWS and Terraform • Knowledge of MLOps principles and security

Utilize your skills to reshape the future of local retail at Faire, where innovative minds thrive in a supportive environment. #J-18808-Ljbffr