Senior Staff Machine Learning Platform Engineer

Stack

Responsibilities

• ▹Define and drive the long-term architecture of the ML platform: training, inference, feature management, governance
• ▹Establish company-wide standards for code quality, testing, MLOps (CI/CD), experimentation, model lifecycle management and observability
• ▹Lead adoption of Unity Catalog, multi-workspace strategies and data/ML mesh patterns
• ▹Architect scalable ML workflows using Spark, Delta Lake and MLflow
• ▹Optimize performance, reliability and cost of the ML platform
• ▹Evaluate and integrate emerging Databricks features
• ▹Serve as senior ML technical advisor to data science and production engineering teams
• ▹Represent Faire at ML conferences and meetups
• ▹Mentor ML engineers

Requirements

• ▹10-12 years of experience building and improving large-scale ML or data platforms
• ▹Deep expertise in Databricks lakehouse architecture: governance via Unity Catalog, orchestration via Workflows, cost optimization
• ▹Proven ability to design systems supporting multiple data science teams and production workloads
• ▹Strong background in distributed systems, ML infrastructure and cloud architecture
• ▹Technical leadership across teams; ability to influence without authority
• ▹Proficiency in Python, SQL, Kotlin, PyTorch, PySpark, MLflow, Spark, Kafka, Databricks

Nice to have

• ▹Experience integrating LLM workflows into enterprise platforms
• ▹Contributions to open source ML infrastructure projects or research publications (very strong plus)

Soft skills

About the company

Faire is a technology wholesale platform built on the belief that the future is local. It uses technology, data and machine learning to connect independent retailers with products from around the world.