Appsndevices Technologies Recruitment – 12 Posts
Appsndevices Technologies Pvt. Ltd. has released an employment notification for the recruitment of Subject Matter Expert (PCM) and Team Lead / Senior SME posts. Interested and eligible candidates may apply here.
\Appsndevices Technologies Recruitment
1. Subject Matter Expert (Physics, Chemistry, Mathematics)
No of posts:
Bengali medium: 10 (Location: Silchar)
Pay: Rs.20000 to 40000 per Month
Age Limit: 24 to 45 years
Educational Qualification: Masters preferably with B.Ed .
2. Team Lead / Senior SME
No of posts:
Bengali medium: 2
Pay: Rs.20000 to 40000 per Month
Age Limit: 24 to 45 years
Educational Qualification: Masters preferably with B.Ed & 5 to 10 years of Experience .
Walk in date and Time if any: We will coordinate with the candidates .
Application fee if any: N/A.
How to Apply for Appsndevices Technologies Recruitment?
Interested and eligible candidate can send their resume to career@appsndevices.com / Contact : +918431242654/ +916001273076 .
About Appsndevices Technologies Pvt. Ltd.
Appsndevices Technologies Pvt. Ltd. develops distinct learning platforms for K12 and Higher Education sectors.
These are in-classroom and virtual classroom solutions to help institutions excel in their class delivery and student administration. With a network of the best minds in Education; Training sector, we have developed thousands of hours of courseware for K12, Higher Ed, and Vocational programs in India. Our learning & analytics solutions are being used by over 1 million students across India.
The virtual classroom technology platform on which Stucle is built has been awarded with WSIS Awards by United-Nations - International Tele-communication Union at World Summit on the Information Society forum in Geneva, Switzerland. The classroom platform is used in more than 12,000 schools and 20 lakhs+ students have benefitted from across India.
We are passionate about creating actionable solutions for the education industry to help the policymakers make good decisions based on meaningful learning from big data.