ML (Data) Platform Engineer

About the Company

Lyric is an enterprise AI platform built specifically for supply chains, offering out-of-the-box AI solutions and a platform-first approach that empowers both business and technical users with end-to-end product composability.

Responsibilities

• Build and scale data management systems that power AutoML and forecasting platforms
• Own and evolve the feature store and feature engineering workflows
• Implement robust data SLAs and lineage systems across time series data pipelines
• Collaborate with ML engineers, infra, and product teams to ensure scalable platform design
• Drive architectural decisions around data distribution, versioning, and composability
• Participate in the design of reusable systems for varied supply chain problems

Requirements

• Strong experience with large-scale data systems and distributed pipelines
• Hands-on experience with ETL pipelines, data lineage, and data reliability tooling
• Proven experience in ML feature engineering or building feature stores
• Exposure to time series data, forecasting pipelines, or AutoML workflows
• Strong problem-solving and design thinking ability

Preferred Qualifications

• Familiarity with modern data infra such as Apache Iceberg, ClickHouse, or Data Lakes
• Product thinking mindset for user-extensible systems
• Experience with AutoML frameworks like SageMaker or VertexAI