Senior MLOps Engineer

Experienced in building and operating large-scale machine learning infrastructure Understand challenges of moving models from notebooks to production Write clean, maintainable code Understand software engineering best practices Hands-on experience with containerization Hands-on experience with orchestration tools Hands-on experience with CI/CD pipelines Hands-on experience with infrastructure-as-code Collaborative approach User-focused motivation

Build scalable ML infrastructure Design, develop, and maintain MLOps platforms and pipelines Work with cross-functional teams including Data Scientists, ML Engineers, and Software Engineers Drive automation and efficiency through CI/CD pipelines for ML models Automate retraining workflows Build monitoring systems for reliability Solve complex technical challenges Evaluate new MLOps tools Architect solutions for data science teams Mentor and lead engineers on MLOps best practices