Note: The job is a remote job and is open to candidates in USA. Faire is a technology wholesale platform that uses technology, data, and machine learning to connect independent retailers with products. The Staff Machine Learning Platform Engineer will design, improve, and operate a scalable ML platform for model training, deployment, and governance, while enabling data scientists to move models from notebooks to production. The role also focuses on infrastructure reliability, security, observability, automation, and documentation.
Responsibilities
- Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
- Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
- Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
- Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
- Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
- Optimize performance, reliability, and cost across training and inference workloads
- Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
- Establish observability for data quality, model performance, and platform health
- Build and maintain ML Platform technical documentation
Skills
- * 8+ years of experience building production ML or data platforms
- * A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
- * Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow
- * Proficiency in Python, SQL, and distributed systems concepts
- * Experience with cloud platforms and infrastructure-as-code
- * Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
- * Experience supporting multiple ML teams in a shared platform environment
- * Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you're missing to get the job done
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
Benefits
- This role will also be eligible for equity and benefits.
- We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
- Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
- Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).
- Hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
Company Overview
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