As an MLOps / LLMOps Engineer, you will design, automate, and operate scalable ML and LLM systems on Irth’s enterprise Lakehouse platform, working closely with Data Science, Engineering, and Product teams to deploy reliable, secure, and production-ready ML and GenAI solutions.
Requirements
- 3–5 years of experience in MLOps, LLMOps, or ML platform engineering roles.
- Hands-on experience with Databricks, Delta Lake, Unity Catalog, and ML deployment workflows.
- Strong experience with CI/CD pipelines using GitHub Actions and infrastructure automation.
- Experience implementing data quality validation, schema governance, and data contracts.
- Experience building production-grade ML pipelines with monitoring and observability.
- Strong security knowledge including RBAC, encryption, data residency, and governance practices.
- Proficiency in Python, SQL, and distributed data processing frameworks.
- Bachelor’s or master’s degree in computer science, Software Engineering, or a related field, or equivalent professional experience.
