MLOps Engineer

Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative field. 3+ years of experience in data engineering or machine learning with MLOps and production deployment success. Proven expertise in designing and implementing ML testing strategies. Expertise in deploying ML models at scale on AWS, with experience using MLFlow or similar platforms. Strong Python programming skills and adherence to software engineering best practices. Expert-level SQL skills and experience with large datasets. Strong problem-solving skills.

Develop and implement end-to-end machine learning features for revenue optimization. Establish and maintain robust MLOps practices including CI/CD for ML systems. Design, build, and maintain reliable data and ML pipelines. Implement comprehensive software quality and testing processes for ML systems. Design, train, and test machine learning models for pricing optimization. Implement model performance monitoring. Collaborate cross-functionally to define SLIs/SLOs for ML services. Conduct structured A/B testing and experimentation to validate model effectiveness.