Senior Instructor - Data Science, ML & GenAI
Job Description
AlgoTutor is a next-generation EdTech company dedicated to on-campus upskilling and career readiness for engineering students. We work closely with colleges to deliver structured, placement-driven training programs that align with real industry needs.
Founded by engineers from J.P. Morgan and Microsoft, we understand what top tech companies expect — and we bring that knowledge directly to campuses. Our training is not just theoretical; it is hands-on, practical, and interview-focused, helping students strengthen fundamentals, master modern tech stacks, and gain confidence for real world opportunities.
Role Description
This is a part-time, on-campus role for an ML, DL & GenAI Instructor [Daily 6hours only] at AlgoTutor to conduct campus training program.
Location: Jalandhar, Punjab
Duration: 35 Days
Qualifications:
- Experience in delivering structured technical training programs.
- Strong ML, DL & GenAI Teaching Skills.
- Ability to explain complex concepts in a simple, engaging manner.
- Bachelor’s/Master's degree in Computer Science or related field preferred.
- Industry experience in product-based companies is a plus.
As an Instructor
- Deliver structured, placement-oriented technical training programs.
- Conduct interactive coding sessions and hands-on workshops.
- Teach 6 hours daily during active campus programs.
- Mentor students in ML, DL & GenAI.
Why to Join AlgoTutor:
- Competitive Compensation aligned with your expertise
- Travel, accommodation, and meals fully covered during on-campus programs
- Create real impact by mentoring and shaping the next generation of engineers
- Collaborative and supportive team culture that values learning and growth
- Opportunities for personal and professional development as an educator and industry mentor
- Referral and Performance-Based Rewards to recognize your contributions
- Opportunity to join us Full Time as Software Engineer/Technical Trainer
- Let’s teach, mentor, and inspire together. Because knowledge grows when shared.
