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Senior Machine Learning Engineer

Lyric is an enterprise AI platform built specifically for supply chains, offering out-of-the-box AI solutions and a platform-first approach for supply chain decision intelligence.
Machine Learning
Senior Software Engineer
In-Person
11 - 50 Employees
5+ years of experience
AI · Enterprise SaaS · Logistics
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Job Description

Lyric is revolutionizing supply chain management through their enterprise AI platform. Founded in December 2021, they're addressing the complex challenge of supply chain decision-making for large enterprises. The platform combines out-of-the-box AI solutions for various supply chain optimizations with a flexible platform-first approach that empowers both technical and business users.

As a Senior Machine Learning Engineer at Lyric, you'll be instrumental in building their Predictions workspace, a no-code interface that enables users to build predictive models for supply chain problem-solving. You'll work closely with platform teams to create end-to-end workflows for supervised learning and time series forecasting solutions.

The role requires a strong foundation in software engineering, with expertise in data engineering, ETL pipelines, and working with various data sources and persistence layers. You'll need proficiency in Python, SQL, and REST API development, along with experience in CI/CD pipelines and MLOps tooling.

Lyric serves Fortune 500 companies including Smurfit WestRock, Estée Lauder, Coca-Cola, and Nike, helping them innovate their supply chain operations. This is an opportunity to join a company that's transforming how global enterprises handle supply chain complexity through AI-driven solutions. The position offers the chance to work on cutting-edge technology while making a significant impact on global supply chain operations.

Last updated 8 days ago

Responsibilities For Senior Machine Learning Engineer

  • Build Lyric's Predictions workspace - a no-code interface for building predictive models
  • Orchestrate end-to-end workflows for supervised learning and time series forecasting solutions
  • Adopt best practices of software engineering development in an agile environment
  • Research and conduct proof-of-concept solutions on frameworks and technologies
  • Take ownership of the product build and evolution journey

Requirements For Senior Machine Learning Engineer

Python
  • Sound background in software engineering fundamentals
  • Deep familiarity with data engineering including building ETL pipelines
  • Experience with assembling datasets from different data sources
  • Knowledge of data persistence layers (SQL and NoSQL DBs)
  • Experience with CI/CD pipelines and MLOps tooling
  • Solid programming background in Python, SQL and REST API service development