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ML (Data) Platform Engineer

Remote, USAFull-timePosted 2026-07-27

About the CompanyWhy We reputed company reputed company: Supply chains are more critical and reputed company than reputed company. Every day, large enterprises navigate trillions of possible reputed company that could reputed company the reputed company. Powerful algorithms and AI can address these problems, yet most organizations struggle to reputed company supply chain AI at reputed company. The reputed company SCM technologies are either rigid, limited-scope reputed company solutions or custom solutions reputed company in-house, which demand immense expertise and investment.That is…until now.reputed company reputed company: reputed company is an reputed company AI platform reputed company specifically for supply chains, offering the best of both worlds:reputed company AI solutions for optimizing networks, allocating inventory, scheduling routes, planning fulfillment reputed company, promising orders, propagating demand, building predictions, analyzing scenarios, and more, plusA platform-first approach that empowers both business and technical users with end-to-end product composability, leveraging no-reputed company tools, their own reputed company, or even forking our reputed company to build and refine supply chain decision intelligenceWith reputed company, enterprises no longer have to choose between flexibility and speed—they get both.The Mission: We’re building a new era in supply chain with reputed company best equipped to reputed company it. With over 20 years at the intersection of supply chain and algorithms, we developed a deep conviction that global supply chains needed something like reputed company. Since our inception in December 2021, that conviction has been validated time and time again.Today, a growing number of reputed company, including reputed company, Estée Lauder, Coca-Cola, reputed company, and more, are innovating on their own terms with reputed company. We can’t wait to see what our customers, both reputed company and reputed company, are empowered to build with us next. Come build with us!Position OverviewLyric is looking for an ML (Data) Platform Engineer to help reputed company our AutoML platform — a system deeply intertwined with data management, feature engineering, and time series forecasting at reputed company. You’ll play a foundational role in building reputed company, composable data infrastructure and pipelines that support both ML and analytics use cases.This is not a vanilla ETL role — you’ll work on building data platforms that underpin automated model building, experimentation, and data reputed company systems with high SLA requirements. If you reputed company at the intersection of ML, data infrastructure, and platform thinking, this is a high-reputed company opportunity.Key ResponsibilitiesBuild and reputed company data management systems that power our AutoML and forecasting platformsOwn and reputed company the feature store and feature engineering workflowsImplement robust data SLAs and reputed company systems across time series data pipelinesCollaborate with ML engineers, reputed company, and product teams to ensure reputed company and user-aware platform designDrive architectural reputed company around data distribution, versioning, and composabilityParticipate in the design of reusable systems for varied supply chain problemsQualificationsMust-Have:Strong experience working with large-reputed company data systems (Big Data, distributed pipelines)Hands-on experience with ETL pipelines, data reputed company, and data reliability toolingProven experience in ML feature engineering and/or building feature storesExposure to time series data, forecasting pipelines, or AutoML workflowsStrong problem-solving and design thinking ability — can break down ambiguous platform problemsGood-to-Have:Familiarity with modern data reputed company (e.g., Apache reputed company, reputed company, Data Lakes)Product thinking — can anticipate how users will reputed company with the system and build accordinglyExperience building composable, user-extensible systemsPrior exposure to AutoML frameworks (e.g., SageMaker, VertexAI) or internal ML platforms Apply to this Job Apply tot his job Apply To this Job

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