Mentor, Data Scientist, Machine Learning​/ ML Engineer

Location: Bengaluru

Mentor – Mathematics   Company:
Polaris School of Technology

Location:

Bangalore (On-site)

Experience:

2–6 Years
About

Polaris Polaris School of Technology is a new-age engineering institution focused on building global technology careers through an industry-driven curriculum in Applied AI, Product Management, Cloud Computing, and Big Data. Polaris emphasizes hands-on learning, real-world projects, mentorship from industry practitioners, and early exposure to technology ecosystems. The institution aims to bridge the gap between academic learning and industry readiness for the next generation of engineers.

Website:  About the Role We are looking for a passionate Mathematics Mentor to train and mentor

B.Tech students in core mathematical concepts and their applications in Computing, Data Science, and AI/ML. The ideal candidate will be able to simplify complex topics, create engaging learning experiences, and help students build strong quantitative reasoning skills.

Key Responsibilities

• Deliver training sessions on Mathematics for Computing and AI/ML.

• Teach Logic, Probability, Statistics, Linear Algebra, and Calculus.

• Design curriculum, assignments, assessments, and learning materials.

• Demonstrate mathematical concepts using Python and relevant computing tools.

• Connect mathematical foundations to real-world applications in AI/ML, Data Science, Analytics, Cloud, and Big Data.

• Provide mentorship, doubt-solving, and academic support to students.

• Track student progress and contribute to continuous curriculum improvement.

Required Skills

• Strong understanding of Discrete Mathematics, Probability, Statistics, Linear Algebra, and Calculus.

• Experience teaching or mentoring undergraduate students
.
• Proficiency in Python, preferably with Num Py, Pandas, and Matplotlib.

• Ability to explain abstract mathematical concepts through practical examples.

• Strong communication, presentation, and problem-solving skills.

Preferred Qualifications

• Bachelor's or Master's degree in Mathematics, Applied Mathematics, Statistics, Computer Science, or a related field.

• Experience in Mathematics education, EdTech, engineering colleges, universities, or technical training programs.

• Exposure to Data Science, AI/ML, Analytics, or quantitative computing applications. Working Days:
Monday–Saturday I

Interview Process:
Demo Round → Technical Round → Final Round