Worldly
Enterprise • Compliance • SaaS
Worldly is a leading provider of sustainability intelligence solutions for brands and manufacturers. The company helps businesses develop and scale sustainability programs by delivering real data about their supply chain, products, and operations. Worldly's platform includes tools for tracking factory impacts, ensuring regulatory compliance, and understanding product impacts through standardized frameworks like the Higg Index. Their services support environmental and social performance assessments, ESG reporting, and supply chain transparency. Worldly's clients benefit from improved visibility into their supply chains and actionable insights to enhance their sustainability performance and comply with emerging regulations.
51 - 200 employees
🏢 Enterprise
📋 Compliance
☁️ SaaS
ML Ops Engineer – Data Lake, AI Infrastructure
Yesterday
Worldly
Enterprise • Compliance • SaaS
Worldly is a leading provider of sustainability intelligence solutions for brands and manufacturers. The company helps businesses develop and scale sustainability programs by delivering real data about their supply chain, products, and operations. Worldly's platform includes tools for tracking factory impacts, ensuring regulatory compliance, and understanding product impacts through standardized frameworks like the Higg Index. Their services support environmental and social performance assessments, ESG reporting, and supply chain transparency. Worldly's clients benefit from improved visibility into their supply chains and actionable insights to enhance their sustainability performance and comply with emerging regulations.
51 - 200 employees
🏢 Enterprise
📋 Compliance
☁️ SaaS
📋 Description
• Design and deploy data lakehouse infrastructure using open-source technologies. • Build and scale ML pipelines using modern tools. • Implement data ingestion and transformation workflows. • Monitor, debug, and optimize data and ML services running across distributed environments.
🎯 Requirements
• 4+ years of experience in ML engineering, MLOps, or data infrastructure roles. • Proven hands-on experience with containerized open-source data tools. • Strong understanding of data engineering best practices including security, governance, and versioning.
🏖️ Benefits
• 90% employee premium and 75% spouse/dependent premium covered by Worldly. • Company-sponsored 401k with up to 4% match. • Incentive Stock Options • 100% Parental Paid Leave • Unlimited PTO • 13 company holidays
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