MLOps Engineer

## Role Overview Build and maintain our production ML pipelines in a fully remote environment. Help bridge the gap between AI research and production-grade software. ## Responsibilities - Design and implement CI/CD for ML models. - Optimize inference infrastructure (Docker/Kubernetes). - Monitor model performance and drift. ## We're looking for - Strong DevOps/SRE background with a focus on ML. - Experience with AWS SageMaker or Vertex AI. - Proficiency in Python and Shell scripting.