MLOps Engineer Needed to Build & Deploy a Production-Ready ML Pipeline

We are looking for an experienced MLOps Engineer to help build, deploy, and optimize a production-ready machine learning pipeline. Scope of Work * Design and implement end-to-end ML pipelines. * Automate model training, testing, and deployment (CI/CD). * Containerize applications using Docker and orchestrate with Kubernetes (preferred). * Set up model versioning, experiment tracking, and monitoring. * Deploy models to cloud platforms (AWS, GCP, or Azure). * Optimize infrastructure for scalability, reliability, and performance. * Write clean, well-documented, and maintainable code. Deliverables * Fully functional MLOps pipeline. * Automated deployment workflow. * Documentation with setup and deployment instructions. * Knowledge transfer or brief walkthrough of the solution.