Teaching Assistant-AI & DS

Shall be responsible to provide the following administrative support to the faculty and students:

1. This person is a bridge between faculty & students for the course, responsible for entire course related communication.

2. Course material discussion & development with faculty

3. Development of quizzes, assignments etc. with faculty

4. Development of grading rubric with faculty

5. Evaluation of submissions (quizzes, assignments, projects, exams, etc.)

6. Helping students with course concepts and any doubt clarifications & managing faculty hours

7. Conducting lab sessions or tutorial sessions as required

8. Guiding students in course specific projects & capstone

9. Sit in every class and mark attendance & class participation (CP). Discuss class participation with faculty to give grades for same every day.

10. Invigilating exams, quizzes.

11. Managing the LMS, upload attendance, pre-reads, post-reads, quizzes, etc.

12. Gathering, compressing & uploading the class recording everyday on LMS.

13. Maintain academic discipline in the classroom.

14. Closely observe the class performance and bring the feedback to program office from time to time.

15. Closing all aspects related to the course.

16. They will accompany the student cohort in field trips and industry visits.

17. Perform other additional responsibilities as requested from time to time.

An ideal candidate is someone who has a strong academic background and aspires to eventually pursue teaching or a doctoral programme.

Qualifications:

Masters / Post-Graduate in relevant discipline. Computer science, Data science, Applied Mathematics and Statistics will be preferred.

Experience:

Preferably experience in one or more of relevant domains: Machine Learning, NLP, Deep Learning, Computer Vision, Data science & analytics, Databases & big data; with a proven track record of applying them to real problems and real data.

Job-Specific Knowledge & Skills:

• Excellent oral, written, and communication skills.
• Excellent analytical skills; demonstrated proficiency in Excel and web-based tools.
• Ability to work with more than one faculty at a time and keeping daily record on progress
• Working knowledge of statistical software and/or programming languages like R, Stata, SQL, Tableau, Hadoop, Python, MATLAB.
• The candidate must have high standards in terms of quality of work, attention to detail, ability to multi-task and absolute commitment to task completion.

TA full time/Course Specific pool for the following areas:

1. Mathematics (Prob & Stats, Linear Algebra, Optimization)

2. Databases & Bigdata Engineering.

3. Core Deep Learning area (DL, NLP, Speech)

4. Core AI (DSA, Intro to AI, NLP) ¬

5. Core Analytics (Data Visualization, Time Series Analysis, Optimization)

TYPE OF EMPLOYMENT:

This position is a fulltime employment at a fixed term contract for a tenure of 2 years, which can be extended by one year based on the Institute requirement and candidate performance. This can be further extended by one more year however the cumulative tenure shall not exceed a period of 4 years.