Designs, implements, and deploys machine learning and deep learning models for real-world applications. Owns the end-to-end machine learning lifecycle, from data exploration to production deployment. Establishes MLOps practices and collaborates with product, engineering, and QA teams.
Design, implement, and maintain automated tests for AI/ML systems. Integrate tests into CI/CD pipelines and create comprehensive test plans covering AI quality aspects. Collaborate with teams to ensure testability and assess datasets for quality and bias.