Requirements 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
Solid 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
Active ownership of orphaned problems and a willingness to assimilate missing knowledge to get the job done
What the job involves Design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance
Serve as the technical bridge between data science and production engineering
Join a small, critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape
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 the 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 IAM and RBAC for sensitive data sets
Establish observability for data quality, model performance, and platform health
Build and maintain ML Platform technical documentation
Tech Stack Languages: Python, SQL, Kotlin
ML Frameworks: PyTorch, MLFlow
Big Data & Processing: Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
Cloud & Infrastructure: AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
Generative AI: Claude Sonnet 4.5, ChatGPT 5.2

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📌 Staff Machine Learning Platform Engineer (Ontario)
🏢 Faire
📍 Ontario