Data Scientist And Machine learning Engineer - Applied AI & Knowledge Sharing

You will hold a dual-role position combining technical development and educational support. 1. Data Scientist Responsibilities (Epsilon AI Analytics)Build, train, test, and evaluate machine learning modelsPerform Exploratory Data Analysis (EDA) and data preprocessingDevelop data pipelines and perform feature engineeringDeploy models and support integration into real-world systemsOptimize model performance and monitor deployed solutionsCollaborate with cross-functional teams (engineering, product, AI leads) 2. Instructor Responsibilities (Epsilon AI Academy)deliver data science and machine learning coursesLead hands-on labs, workshops, and project mentorship sessionsMentor and guide students through practical projects, providing feedback and support to enhance their learning experience.Provide technical guidance to learners during practical exercisesCollaborate with EpsilonAI Analytics teams to integrate real-world case studies and enterprise-grade datasets into educational content.Review student projects and provide structured feedbackPrepare materials, exercises, and demonstrations under senior supervisionSupport junior learners in understanding real-world AI workflows