Staff Machine Learning Platform Engineer
Core
Design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance for Faire's data science teams.
Role type
Staff Machine Learning Platform Engineer
Builds
Scalable ML infrastructure, workspaces, clusters, jobs, workflows, and CI/CD pipelines for production ML models.
Domain
Retail technology, Machine Learning Operations (MLOps), Cloud Infrastructure
Deliverable
production ML models
Required skills
Databricks, Spark, Delta Lake, MLflow, Python, SQL, distributed systems, infrastructure-as-code, MLOps best practices, IAM/RBAC, observability
Preferred skills
Unity Catalog, Terraform, GitHub Actions, Kubernetes, Docker, AWS, SageMaker, Kafka, Snowflake, Iceberg, Airflow, Cockroach DB, MySQL, PyTorch, Kotlin, generative AI tools
Technologies
Databricks, Spark, Delta Lake, MLflow, Unity Catalog, Terraform, GitHub Actions, AWS, S3, SageMaker, Kubernetes, Docker, Kafka, Snowflake, Iceberg, Airflow, Cockroach DB, MySQL, PyTorch, Datadog
Responsibilities
Design and operate ML infrastructure including workspaces, clusters, and workflows; Productionize ML workloads using Spark, Delta Lake, and Databricks; Teach data scientists to utilize the ML platform; Implement Unity Catalog for data governance; Build CI/CD pipelines for ML; Optimize performance, reliability, and cost; Configure IAM and RBAC; Establish observability for data quality and model performance.
Seniority
Staff, hands-on IC with strategic ownership