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WorldlyWO

ML Ops Engineer - Data Lake & AI Infrastructure

Worldly provides powerful supply chain intelligence and sustainability insights to enhance the environmental impact and compliance efforts of brands and manufacturers.

Worldly

Employee count: 51-200

Salary: 145k-185k USD

United States only

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Worldly is the world’s most comprehensive impact intelligence platform. We are looking for an MLOps Engineer to design, deploy, and support the next-generation data infrastructure and AI systems.

Requirements

  • 4+ years of experience in ML engineering, MLOps, or data infrastructure roles.
  • Proven hands-on experience with containerized open-source data tools.
  • Experience managing infrastructure across multiple regions, including self-hosted deployments (Kubernetes, Docker Compose, Terraform, etc.).
  • Experience monitoring ML prediction performance, drift metrics, and pipeline tools

Benefits

  • Comprehensive benefits offerings.
  • Company-sponsored 401k with up to 4% match.
  • Incentive Stock Options
  • 100% Parental Paid Leave
  • Unlimited PTO
  • 13 company holidays

About the job

Apply before

Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 145k-185k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Worldly

Learn more about Worldly and their company culture.

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Worldly is dedicated to transforming how consumer goods are made, marketed, and sold. Founded in 2019, this public-benefit technology company equips brands and manufacturers with forward-thinking supply chain intelligence, delivering actionable insights that help understand and improve their impact on the environment and society. Worldly has quickly become trusted by over 40,000 major brands and manufacturers across various industries, including fashion, outdoor, and home goods. Its robust data-driven platform uniquely collects high-resolution primary data specific to companies’ value chains, products, and operations, offering insight into true impacts across carbon emissions, water usage, labor practices, and more.

Originally designed to host the Higg Index — a widely used tool for measuring sustainability within the apparel and footwear industries — Worldly has since expanded its capabilities to include advanced analytics, reporting, and more tools that serve not only apparel but also hard goods and toys, among other sectors. This enables businesses to prepare for regulatory compliance, enhance transparency with customers, and ultimately drive more meaningful sustainability initiatives. Led by Scott Raskin, Worldly is distinguishing itself in a rapidly evolving market by focusing on sustainable innovation and leveraging technology to foster responsible practices within the consumer goods industry.

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Worldly

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Worldly hiring ML Ops Engineer - Data Lake & AI Infrastructure • Remote (Work from Home) | Himalayas