ML Ops Engineer - Data Lake & AI Infrastructure

Worldly(1 month ago)

RemoteFull TimeSenior$145,000 - $185,000Technology (Other)

About this role

The ML Ops Engineer - Data Lake & AI Infrastructure at Worldly is responsible for designing, deploying, and supporting advanced data lakehouse infrastructure and AI systems that handle both structured and unstructured data at scale. Key responsibilities include building and optimizing ML pipelines using tools such as MLflow and orchestrating workflows with Airflow, implementing data ingestion and transformation processes, and enabling real-time analytics. The role requires collaboration with various teams to create scalable MLOps solutions while managing infrastructure across multiple regions, particularly in China. Candidates should have a strong background in ML engineering and experience with open-source data tools and practices.

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Required Skills

Data Lakehouse
ML Pipelines
Data Ingestion
Transformation Workflows
Real-Time Analytics
Retrieval-Augmented Generation
CI/CD Pipelines
Monitoring
Debugging
Cross-Functional Collaboration

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About Worldly

worldly.io

Worldly is a leading sustainability data and analytics platform designed for retail and consumer goods companies. It provides tools and insights that help brands and manufacturers track supply chain performance, manage social and environmental impacts, and fulfill sustainability reporting requirements. With a focus on empowering stakeholders with rich data and efficient workflows, Worldly aims to simplify sustainability efforts and drive measurable progress across the industry. The platform facilitates supplier engagement, risk management, and regulatory compliance through its extensive network of suppliers.