Elevate model governance and deployment in the Senior Machine Learning Platform Engineer role at Faire. Leverage your expertise in Databricks, Spark, and Python to support impactful solutions.

This position is ideal for candidates with over eight years of experience in developing production ML platforms. You'll serve as a technical bridge between data science and engineering, playing a key role in designing a scalable ML platform. The focus is on enhancing the usability of ML tools, optimizing workflows, and empowering data scientists.

Key Responsibilities: • Design and operate scalable ML infrastructure and workflows • Productionize ML workloads with Spark, Delta Lake,



and MLflow • Implement CI/CD pipelines with GitHub Actions and Terraform • Establish observability for model performance and data quality • Develop comprehensive documentation for the ML platform

Requirements: • 8+ years of experience in ML or data platforms • Robust expertise in Databricks, Spark, and MLflow • Proficient in Python, SQL, and distributed systems • Background in cloud platforms and infrastructure-as-code • Solid understanding of MLOps best practices

Drive the development of innovative ML solutions and enhance the platform experience for data scientists and engineers at Faire. #J-18808-Ljbffr

📌 Senior Machine Learning Platform Engineer (Toronto)
🏢 Faire
📍 Toronto