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Job Description
- 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
Job Requirements
- Expert level in Python including Numpy, Pandas, Scikit-learn
- Proficiency 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 Mathematics
- Expert level in MLlib
- Excellent programming skills (including OOP and preferably functional programming)
- Solid Understanding of Machine Learning Models; Data Preparation, Cleaning up data; Mathematics; Model Deployment
- Solid understanding of Data Science techniques
- Excellent 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 module
- Diligently respond to Trainees needs and questions during the course schedule
- Acts as a technical mentor guiding Trainees on a technical journey of discovery
- Working experience in data science
- Bachelor’s degree (or higher) in -Computer Science or related field preferred
- A minimum of 1-year experience with research/development/application of Data Science
- Experience using technology and interactive electronic materials to support teaching and learning.
- Experience using a Learning Management System such as Google Classroom, Canvas
