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
