Instructor

As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science,

Machine Learning, Deep Learning, and related fields to students and working professionals. You will

play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship,

and academic support. This is a unique opportunity to combine your passion for technology and

education, while shaping the careers of tomorrow.

6 Reasons to Join upGrad Offline Learning Centres

Career Growth & SME Pathway:

leadership roles and grow as a Subject Matter Expert by contributing to content

development, curriculum design and new program launches.

Continuous Upskilling:

for your family.

Comprehensive Health & Wellbeing:

and your family, plus a 24x7 mental health helpline for all-round support.

Attractive Incentives

batches, giving you direct rewards for expanding the learner community.

Employee Referral Bonus:

bring great talent to upGrad and get rewarded.

Impact & Exposure:

and directly impact learner success.

Key Responsibilities

• Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep

Learning and related domains.

• Guide learners through concepts, case studies, and projects to ensure strong understanding

and application.

• Collaborate with Centre Managers and academic teams to monitor learner progress and

outcomes.

• Support students with doubt-solving, mentorship, and building career-ready skills.
• Continuously update knowledge and content to stay current with industry trends and tools.

  Skills & Experience

• Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or

related fields.

• Strong programming skills in Python and understanding of SQL, Excel.
• Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests,

Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.

• Strong communication, presentation, and mentoring skills.
• Comfortable with both classroom delivery and online teaching (camera-facing).

• Education:

  BE/ B.Tech (minimum); Postgraduate preferred.