**Weekly Hours:** 40
**Role Number:** 200657395-0836

**Summary**
As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring that AI/ML systems are reliable, scalable, and continuously improving in production. You will bridge the gap between data science and engineering, driving operational excellence across the full ML lifecycle.

**Description**
The MLOps Engineer will drive end-to-end quality initiatives across data ingestion, model training, deployment pipelines, and MLOps tooling. This hire will build, deploy, and optimize AI/ML based applications with a strong emphasis on scalable, and production-ready systems. You will establish standard methodologies for model integration, deployment, and monitoring using CI/CD principles.

**Minimum Qualifications**

+ 8 years in software engineering with demonstrated experience in large-scale software system design and implementation.
+ Bachelor's Degree in Sof...