ML Architect / Principal Data Scientist

This role involves leading teams of data scientists on full life cycle data-driven solutions, mentoring fellow data scientists, and providing guidance on their efforts. Responsibilities include data wrangling, preprocessing, and manipulation for ML applications, applying advanced statistical methods and reporting techniques to large datasets, and interpreting data analysis and experimental results. You'll develop ML systems for both supervised and unsupervised learning tasks, master DL algorithms, and conduct experiments to enhance model performance.