• Epsilon AI Institute is hiring Data Science instructors who Manage and delivers the course materials to trainees in an engaging thought-provoking manner
• The successful candidate will be able to contribute to the delivery of topics relating to Artificial Intelligence, Machine Learning, Data Science and Programming
• Engage in the classroom and reply to emails, Trainees’ questions, etc. within 24 hours on non-holiday weekdays.
• Evaluate and grade Trainees' class work, assignments, and papers within the timeframe set forth by Epsilon AI policy providing effective feedback to guide Trainees' learning and success.
• Maintain the cadence of the course: Keep Trainees on track, monitor each individual's progress, and design and implement learning or service interventions when Trainees fall behind

Expert level in Python including Numpy, Pandas, Scikit-learnProficiency in Relational and non-relational databases, and Cloud computing with in-depth knowledge of machine learning and artificial intelligence libraries, and APIs.Strong foundation in MathematicsExpert level in MLlibExcellent programming skills (including OOP and preferably functional programming)Solid Understanding of Machine Learning Models; Data Preparation, Cleaning up data; Mathematics; Model DeploymentSolid understanding of Data Science techniquesExcellent software engineering skills (Agile methodologies, Git, continuous development, etc.)Lead project sprints, helping Trainees scope and execute larger technical projects to demonstrate mastery of each content moduleDiligently respond to Trainees needs and questions during the course scheduleActs as a technical mentor guiding Trainees on a technical journey of discoveryWorking experience in data scienceBachelor’s degree (or higher) in -Computer Science or related field preferredA minimum of 1-year experience with research/development/application of Data ScienceExperience using technology and interactive electronic materials to support teaching and learning.Experience using a Learning Management System such as Google Classroom, Canvas