upGrad - SME Instructor - Data Science

Role Summary

If you love to learn, are a quick learner, and would love to create top-notch content in Data Science, Machine Learning, Deep Learning, or MLOps, then we are looking for you!

The SME role is unique in that it provides an opportunity to learn new topics deeply, do research and teach, create theoretical and practical content by building industry level projects, interact and network with top industry professionals and faculty members, build and maintain learner engagement, and do work that directly impacts the lives and careers of our learners.

upGrad is looking for people passionate about technology, the future, and education to help design learning programs for working professionals to stay sharp and relevant and help build the careers of tomorrow.

Roles & Responsibilities :

- Be a part of a world-class content team that develops content for online courses in Data Science, Machine Learning, Deep Learning, and MLOps. This job will equip the candidate with highly sought-after skills, including in-depth subject matter expertise and instructional design knowledge through research, teaching, and content creation and review in online settings

- Understand the industry & learners' requirements and develop content to help students meet high standards

- Ensure extraordinary learning experience by engaging learners through different student touchpoints

- Deeply and quickly learn complex concepts and ensure the quality of content through sound instructional design

- Conduct training for internal teams to equip them with the necessary technical skills and ensure continuous sharing of the latest changes in the field and the industry

- Ensure high-quality training and coaching being imparted by part-time industry SME's

- Collaborate with content strategists and project managers to meet content deliverable requirements

Skills Required :

- BE/B. Tech with computer science background OR a post-graduate degree in Math/Statistics/Computer Science

- Experience in analytics/machine learning, and aptitude and an inclination for teaching and research (as demonstrated through portfolio projects, live sessions, or in-interview training workshops)

- Comfort level in speaking in front of a camera as well as in webinars

- A deep commitment to do research, create relevant content keeping in mind the learner requirements and share knowledge through teaching and writing

- Ability to simplify complex concepts using innovative methods without compromising on the level of difficulty

- Attention to detail is a must

- At least 2+ years of experience as an ML engineer/ Data Analyst/ Data science professional would be valuable.